Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Responsibilities
Lead end-to-end technical solution design and drive implementation across the organization
Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.)
Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation
Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection
Provide technical guidance and training to business teams, driving the adoption and standardization of AI + engineering capabilities
Requirements
Must-Have
I. Core Engineering & Architecture
Proficient in Go or Java concurrent programming with deep understanding of high-concurrency system design and optimization
Hands-on experience with distributed services and distributed storage; familiar with microservice architecture design
Solid knowledge of Linux OS and system-level understanding of middleware (etcd, Nacos, Kafka)
Expert-level proficiency in gRPC framework with development and performance tuning experience
Skilled in using profiling tools, Arthas, and Linux command-line utilities for system analysis and troubleshooting
II. AI & Intelligent Systems
AI engineering mindset with understanding of LLM fundamentals, capability boundaries, and practical engineering applications
Ability to evaluate AI's impact on system stability, security, cost, and compliance from an architectural perspective
Clear understanding of AI's "assistive role" in engineering — avoiding over-reliance while leveraging its strengths
III. Experience & Education
Bachelor's degree or above
3+ years of relevant development experience
Strong communication skills and collaborative spirit
Preferred Qualifications
Hands-on experience implementing AI-assisted development/code review (Copilot, Claude, DeepSeek, etc.) at the engineering team level
Practical application of AI in log analysis, distributed tracing, performance profiling, and anomaly detection
Design experience with AI knowledge augmentation (RAG) or tooling systems based on internal data (code, logs, metrics, documentation)
Open-source project contributions
Sustained technical blog or knowledge-sharing track record
Nice-to-Have
Experience designing financial systems, trading systems, or high-reliability systems
AI-driven observability, automated operations, or stability engineering experience
Deep familiarity with open-source middleware internals (Redis, Kafka, etc.)
Microservice governance, service discovery, and configuration center design experience
Proven track record in high-performance architecture design or AI engineering implementation
Core Competency Matrix
Technical Skills (High Priority): Go/Java concurrency, distributed architecture, middleware, gRPC, performance tuning
AI Engineering (High Priority): LLM understanding, AI-assisted development adoption, RAG/tooling design
Project Experience (High Priority): High-concurrency systems, distributed storage, microservice architecture
Problem Solving (High Priority): Profiling, Arthas, Linux command-line troubleshooting
Communication (Medium Priority): Technical training, cross-team alignment, solution evangelism
Industry Background (Medium Priority): Finance/trading/high-reliability systems
Role Characteristics
Core Positioning: A hybrid AI + Architecture role that requires not only traditional distributed systems expertise but emphasizes AI engineering adoption capabilities.
Key Differentiators:
Must lead AI capability implementation at the engineering level — not merely use AI tools
Must evaluate AI's impact on systems from an architectural perspective (stability, security, cost, compliance)
Must drive AI + engineering capability adoption and standardization across teams
Interview Focus Areas
Distributed Architecture: High-concurrency design, microservice architecture, middleware selection and tuning
AI Engineering: Depth of LLM understanding, AI implementation experience, awareness of AI limitations
Problem Solving: Complex troubleshooting experience, performance optimization case studies
Driving Adoption: Technical solution advocacy experience, cross-team collaboration skills
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
The Role:
Senior Site Reliability Engineer
Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
What we're looking for
5-8 years in a DevOps or platform engineering role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Nice to have:
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Why Tavily?
Full ownership
— small team, you own the entire infrastructure, not a slice of it
Real scaling challenges
— bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company
— your infra directly powers AI agents used by leading companies in the space.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— разработка backend-сервисы и API на Python
— создание AI-агентов и AI-пайплайны с использованием LangChain, LangGraph или аналогичных инструментов
— работа с LLM: промптами, structured output, tool calling, контекстом и памятью
— участие в создании RAG-систем: загрузке документов, поиске информации и формировании ответов на основе источников
— интеграция решения с базами данных, внутренними API и внешними сервисами
— работа с очередями задач, кэшированием, логированием и мониторингом
— участие в проектировании веб-приложений: продумывать взаимодействие backend, frontend, баз данных, фоновых задач и внешних сервисов
— интеграция backend с пользовательскими интерфейсами и при необходимости внесение базовых изменений во frontend
— написание тестов, исправление ошибок и улучшение качества существующего кода
— участие в обсуждении архитектурных и технических решений
— быстрое создание прототипов, проверка гипотез и доработка решений по обратной связи пользователей.
Требования:
— коммерческий опыт разработки на python (fastapi, django или flask) и уверенное проектирование rest api
— sql и реляционные бд (postgresql), git, docker; понимание клиент-серверной архитектуры и http-стека (авторизация, аутентификация, обработка ошибок)
— базовая архитектура приложений: модульность, разделение ответственности, слои приложения, поддерживаемость кода и взаимодействие сервисов
— синхронная и асинхронная обработка, фоновые задачи, очереди сообщений и брокеры (например, celery с rabbitmq/kafka)
— практический опыт в ai/llm: разработка агентов и чат-ботов, использование langchain/langgraph, управление контекстом llm, оценка качества и защита данных
— rag-системы, векторные базы данных, работа с полуструктурированными данными (pdf, таблицы) через pandas/numpy
— кэширование, логирование и мониторинг (redis, elk/prometheus); базовое знакомство с ci/cd и развёртыванием
— websocket и потоковая передача ответов от llm; базовое понимание frontend (html/css/js, react/vue/next.js) для интеграции интерфейса с api
— использование современных ai-инструментов для ускорения написания кода, тестирования и подготовки документации
Условия:
— офисный формат работы: г. Москва
— ежегодный пересмотр зарплаты и годовая премия
— более 400 образовательных программ в СберУниверситете для развития
— спортзал и зоны отдыха
— расширенный ДМС, льготное страхование для семьи
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера.
Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform - the web access layer for AI systems.
You can think of this as Google search, but for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.
We are designing these systems to search and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval, ranking and passage extraction under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24/7.
This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. In the first year, you will own a specific part of the search stack, e.g. ranking or iterative retrieval.
What you'll work on:
Designing an agent-native search system that handles everything from low-latency single-hop search to complex deep search tasks requiring iterative planning, querying, refinement and reasoning.
Training ranking and retrieval models optimized for agent-driven workflows under real world constraints
Bringing the latest advances from the research community to our search stack and ship it to production.
Your responsibilities:
Drive applied research and technical direction across retrieval and ranking systems
Design and evolve multi-stage retrieval architectures (query understanding, rewriting, retrieval, reranking and iterative retrieval)
Lead experimentation on modern retrieval approaches (embedding research, sparse and hybrid retrieval, reranking, context compression) and bring them into production
Develop methods for grounding LLMs in real-time web data at scale, using trust, quality and freshness signals to surface reliable sources
Partner with the evaluation team to define new metrics for agentic systems, where correctness is not reducible to clicks
Analyze trade-offs across relevance, latency, and cost, and work closely with engineering to deploy systems that operate at web scale
Mentor researchers and engineers and help raise the technical bar of the team
Must haves:
8+ years of experience in applied AI, ML, or software engineering
Proven track record of shipping ML or AI systems to production at scale
Deep experience with search, retrieval, ranking or building RAG-based assistants
Strong understanding of modern deep learning, especially transformers and embeddings
Experience with LLM-integrated or knowledge-intensive systems
Experience designing evaluation frameworks and metrics for ML systems
Strong programming skills in Python
Top-tier publications (
ICLR
,
ICML
, NeurIPS,
AAAI
,
EMNLP
,
ACL
)
Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy
Nice to haves
Background in agentic AI systems (agents, tool use, autonomous workflows)
Experience with
RL
post-training of LLMs or VLMs
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tokyo, Japan
WHAT IS BOX?
Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では23,000社超および日経225の86%の企業の業務効率化を支援しています。
Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。
Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。
WHY BOX NEEDS YOU
Box Platformを活用し、エンタープライズアプリケーションやAIソリューションの構築を目指すお客様に対して、技術面における主要なアドバイザー（技術・ビジネス両面での架け橋）を務めていただきます。一般的なSEの枠を超え、プロダクトの方向性に深く関わりながら、社内リーダーと連携してビジネス全体に大きな影響を与えるポジションです。
WHAT YOU'LL DO
提案・営業活動 (Sell):
アカウントチームと密に連携し、Box APIやAIを活用した業務フロー改善の価値をお客様に提案・実証する。
開発・プロトタイピング (Build):
デモ、プロトタイプ、概念実証（PoC）、サンプルアプリケーション、社内業務効率化ツールなどのハンズオン開発を行う。
社内連携・フィードバック (Influence):
顧客ニーズや実装から得たインサイトをプロダクト・エンジニアリングチームに共有し、ロードマップやプラットフォームの方向性決定に貢献する。
技術アセットの作成 (Grow & Play):
ベストプラクティス、サンプルアプリ、テクニカルプレイブック、アーキテクチャ図などの汎用的な技術アセットを作成し、ナレッジを社内外に展開する。
具体的な業務内容：
Box Platform（API）およびプロダクトの方向性に合致した、AI対応ソリューションパターンの設計と検証。
お客様や社内チームと連携し、ビジネス価値を示して導入を加速させるプロトタイプやPoCの実行。
ベストプラクティス、サンプルアプリ、デプロイメントパターン、テクニカルプレイブック、アーキテクチャ図などの技術アセットの作成。
デモやソリューション設計セッションを通じたBoxのプロダクトビジョンの発信と、顧客価値の最大化支援。
エンゲージメントから得られたパターンを統合し、将来のロードマップや統合戦略に反映させるためのインサイト提供。
ハイタッチSEやプロダクト・エンジニアリングチームと緊密に連携し、ディスカバリーサポート、技術適合性の検証、再現可能なテクニカルプレイへの反映を推進。
AIツールやワークフローを活用した迅速かつスマートな意思決定とインパクトの最大化。
Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。
WHO YOU ARE
私たちは「AIファースト」の企業です。
すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。
技術の習得意欲:
Python、TypeScript、SQLの実践的なスキルを、実際のお客様やプロダクトのシナリオに適用・習得することに対する強い意欲。
モダンAIパターンへの適応力:
RAG（検索拡張生成）、モデル選定、評価、ツールコール、およびセキュリティを考慮したソリューション設計などのモダンなAIソリューションパターンへの理解と適応力。
ハンズオンでの実行力:
高い技術的流暢性を持ち、ソリューションの構築、検証、プロトタイプ作成を自ら手を動かして（ハンズオンで）実行できる能力。
コードの理解と記述:
コードを理解し、実際に記述できる経験や能力。
エンタープライズ技術の理解:
エンタープライズアプリケーション、統合パターン、およびソリューションアーキテクチャに関する深い理解。
AI技術への好奇心:
新しいAI技術、ツール、実装パターンに対する強い好奇心と、主体的に学び実験する意欲。
優れたコミュニケーション力:
技術的な内容とビジネス的な内容を、相手のスキルレベルに合わせて翻訳・伝達できる、優れたプレゼンテーションおよび部門横断的なコラボレーションスキル。
チームファーストの姿勢:
プロダクト、エンジニアリング、ハイタッチSEチームと緊密に連携し、現場のニーズと顧客対応の実行のバランスをうまく取れる能力。
自律性とセルフスターター:
複数のイニシアチブを主導し、曖昧な状況下でも主体的に行動して成果を上げることができる、創造的かつセルフスターターなマインドセット。
優先順位の管理能力:
複数の優先事項のバランスを取り、最もインパクトのある業務に対して自律的に取り組むことができる能力。
REQUIRED SKILLS
SaaS、ソフトウェア、または関連するテクノロジー環境において、プラットフォーム、API、およびソリューション指向の提案営業に強みを持つ、顧客対面のセールスエンジニアまたはソリューションエンジニア（SE）としての2年以上の実務経験。
コードを理解・記述し、プロトタイプ構築やソリューション検証をハンズオンで行える技術力。
優れたコミュニケーション・プレゼンテーションスキル、および自律的な業務遂行能力。
学士号または同等の学位。
PREFERRED SKILLS
AI技術、AI統合パターン、および開発者向けツールに関する経験。
Python、TypeScript、SQLを用いたプロトタイピングや統合の実績、または強い興味。
RAG、モデル選定、評価、ツールコール、セキュリティを考慮したモダンなAIアプリケーションパターンの設計・検証能力。
デモ、PoC、サンプルアプリ、テクニカルプレイブック、またはアーキテクチャガイダンスの作成経験。
SaaSプラットフォームやビジネスシステムにおけるエンタープライズソリューションの設計経験。
現場のインサイトをプロダクトフィードバックやロードマップに反映させた経験。
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Location: Germany; France; Netherlands; Spain
Workplace: Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
THE TEAM AND YOUR IMPACT
We're hiring a Business Development Representative to help build Qdrant's enterprise pipeline. You'll report directly to our Enterprise sales leaders and work side by side with them on the accounts that matter most to our growth.
This isn't a role where you'll just work a list. You'll run both inbound and outbound motions, and you'll operate strategically inside key accounts to help identify and drive expansion opportunities alongside the Enterprise team. You'll be a first line of contact for engineering and AI leaders evaluating vector search infrastructure, so a genuine curiosity about how production AI systems are built matters here.
WHAT YOU WILL OWN
- Report directly to Qdrant's Enterprise sales leaders and act as an extension of their account strategy.
- Run outbound prospecting into named enterprise accounts, targeting engineering, AI, and data leaders building retrieval and agentic AI systems.
- Qualify and progress inbound leads generated by marketing, content, and community channels.
- Research target accounts to identify expansion opportunities within existing customers and new logos in strategic segments.
- Work closely with Enterprise AEs to develop strategic outreach and multi-threaded account plans for key accounts.
- Run discovery conversations to understand a prospect's retrieval, search, and AI infrastructure challenges.
- Book qualified meetings and hand off well-scoped opportunities to the Enterprise sales team.
- Build outbound workflows using tools like Claude and Common Room to research accounts, personalize outreach, and scale prospecting.
- Keep Salesforce and pipeline data accurate and current, and share account and market insights back with sales, marketing, and product teams.
- Hit monthly and quarterly targets for qualified pipeline generated.
WHO YOU ARE
- Up to three years of experience in a business development, sales development, or similar quota-carrying prospecting role, ideally at a technical B2B SaaS or infrastructure company.
- A track record of hitting or exceeding pipeline generation targets.
- Comfort with both inbound follow-up and proactive outbound prospecting into enterprise accounts.
- Strong written and verbal communication skills, with the ability to speak credibly to technical audiences.
- A genuine interest in AI infrastructure, vector search, or developer tools. You don't need to be an engineer, but you should be willing to learn the technical fundamentals.
- A genuine interest in building a career in sales.
- Experience with a CRM (Salesforce) and sales engagement tools.
- Organized, self-motivated, and comfortable operating with a degree of ambiguity in a fast-growing company.
NICE TO HAVE
- You have an understanding of key personas in the AI/ML space.
- Familiarity with databases, search, and cloud infrastructure.
- Engineering or computer science background.
WHY JOIN US
- A remote-first, international team working on cutting-edge AI infrastructure.
- A competitive salary with additional perks.
- Flexible working hours and async-friendly culture.
- High ownership and real impact.
- Open-source, engineering-driven culture.
- Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/
#LI-REMOTE
Location: Remote - US
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
This is a strategic, principal-level technical leadership role responsible for shaping MinIO's Global Systems Integrator (GSI) strategy and expanding MinIO's influence across the AI ecosystem. The role partners directly with the business-facing GSI leader to drive the technical strategy behind MinIO's alliances with Accenture, Capgemini, EY, Deloitte, Kyndryl and other GSIs. The business leader owns commercial strategy while this role owns technical vision, ecosystem influence, and partner technical engagement.
The charter is to establish MinIO as the data foundation for Enterprise AI by leveraging strategic ecosystem partners—primarily NVIDIA and Databricks—to create repeatable AI Factory architectures, joint offerings, and technical GTM motions. This is not a customer implementation role; it is a market-facing leadership position responsible for influencing executives, architects, AI practice leaders, engineering organizations, and industry direction.
Why This Role Matters
Accelerate MinIO's global GSI strategy through technical leadership.
Create technical mindshare with GSIs and strategic ecosystem partners.
Drive adoption of AI Factory architectures built on MinIO, NVIDIA, Databricks, and complementary technologies.
Influence the market through thought leadership, industry speaking, and joint innovation.
What You Will Do:
Partner with the business-facing GSI leader to define and execute the global GSI strategy.
Build trusted relationships with partner CTOs, Chief Architects, Distinguished Engineers, AI Practice Leaders, and executive leadership.
Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU infrastructure, networking, Kubernetes, storage, data platforms, AI frameworks, and orchestration.
Leverage NVIDIA, Databricks, and the broader AI ecosystem to develop joint offerings, solution blueprints, and GTM motions.
Lead Level 2–3 architectural discussions and technical workshops while partnering with Field Architects for customer implementation.
Represent MinIO at conferences, executive briefings, analyst meetings, webinars, podcasts, and partner events.
Provide strategic feedback to Product and Engineering based on ecosystem trends and partner insights.
Executive & Industry Leadership
Influence C-level executives and senior technical leaders.
Serve as a recognized thought leader in Enterprise AI, AI Factories, and modern data platforms.
Publish blogs, white papers, reference architectures, and technical content that shape market direction.
Your Skills and Experience:
15+ years in enterprise infrastructure, AI, cloud, or distributed systems.
Deep understanding of Enterprise AI architectures and AI Factory design.
Strong working knowledge of NVIDIA AI Enterprise, DGX/HGX, CUDA ecosystem, AI Factory architectures, networking, and GPU infrastructure.
Experience with Databricks, Spark, Delta Lake, Iceberg, RAG, agentic AI, and modern AI platforms.
Experience working with or alongside Global Systems Integrators.
Exceptional executive presence, storytelling, whiteboarding, and public speaking.
Proven ability to influence strategy without direct authority.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Dubai, United Arab Emirates
Job Description
We are seeking experienced
AI Engineers / Agentic AI Developers
to design, develop, and deploy enterprise-grade AI solutions with a focus on
Agentic AI
,
Large Language Models (LLMs)
, and
Retrieval-Augmented Generation (RAG)
. The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an
on-premises environment
using local AI models and tools.
Key Responsibilities
Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.
Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.
Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.
Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.
Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.
Optimize AI models, prompts, workflows, and application performance.
Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.
Provide technical support, troubleshooting, performance tuning, and continuous improvements.
Design and implement AI solutions using
on-premises infrastructure, local models, and enterprise-approved AI tools
.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
5+ years
of software development experience, including
2+ years
working with AI/Generative AI technologies.
Strong experience with
Python
and AI application development.
Hands-on experience with
Large Language Models (LLMs)
and prompt engineering.
Experience designing and implementing
Retrieval-Augmented Generation (RAG)
solutions.
Experience building
Agentic AI
or multi-agent systems.
Experience integrating AI applications with
REST APIs
, databases, and enterprise applications.
Familiarity with AI orchestration frameworks such as
LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
, or similar.
Experience working with vector databases such as
Milvus, ChromaDB, FAISS, Pinecone
, or equivalent.
Knowledge of model deployment using
Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM
, or similar on-premises inference platforms.
Experience deploying and managing AI solutions in
on-premises environments
.
Understanding of AI security, governance, privacy, and Responsible AI principles.
Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.
Strong analytical, problem-solving, communication, and documentation skills.
Preferred Skills
Experience with open-source LLMs such as
Llama, Mistral, Qwen, Gemma, or DeepSeek
.
Experience with GPU infrastructure and AI model optimization.
Knowledge of MLOps practices and AI monitoring.
Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.
Experience working in highly secure or regulated enterprise environments.
This JD is aligned with your requirement that
all AI use cases must run on-premises using local models and on-premises tools
, making it suitable for enterprise or government projects.
Задачи:
— развитие и оптимизация существующих ИИ-агентов
— проектирование архитектуры новых компонентов
— разработка многошаговых агентных сценариев с использованием LangChain и LangGraph
— проектирование логики взаимодействия агентов с LLM, базами данных, внутренними API и корпоративными сервисами
— разработка backend-сервисов ИИ-агентов на Python
— реализация RAG-сценариев, поиск по корпоративным данным и работу с векторными базами данных
— улучшение качества ответов агентов, устойчивость сценариев и корректность использования инструментов
— оптимизация производительности, задержки и стоимости LLM-запросов
— разработка механизмов хранения состояния, истории диалогов и контекста пользователя
— анализ ошибок агентов и устранение причины некорректного поведения
— участие в тестировании, мониторинге и подготовке решений к промышленной эксплуатации
— взаимодействие с разработчиками, аналитиками и представителями бизнеса при проработке новых сценариев.
Требования:
— оконченное высшее образование
— подтвержденный опыт коммерческой разработки на python от 5 лет
— уверенное владение FastAPI или аналогичным Python-фреймворком
— практический опыт разработки приложений на базе LLM
— опыт работы с LangChain и LangGraph
— понимание принципов построения ИИ-агентов: структура запросов, состояние, инструменты, маршрутизация, планирование и выполнение многошаговых сценариев
— опыт проектирования архитектуры сервисов и самостоятельной декомпозиции задач
— опыт работы с PostgreSQL
— опыт работы с векторными базами данных или расширениями для векторного поиска
— понимание принципов RAG, embeddings, semantic search
— опыт интеграции с внешними и внутренними API
— понимание асинхронного программирования в Python
— умение писать поддерживаемый код, покрывать критическую логику тестами
— способность самостоятельно исследовать проблему, предлагать решение и доводить его до работающего результата
— навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом
— опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
— инструментальное владение AI для анализа, генерации и автоматизации.
Условия:
— комфортный современный офис рядом с м. Кутузовская (для офиса Кутузовский 32)
— ежегодный пересмотр зарплаты и годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного роста
— подписка Прайм с возможностью совместного использования на трёх близких
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.
Задачи:
— развивать backend на Python
— подключать LLM, инструменты, базы знаний и RAG
— строить пайплайны оценки качества агентов
— участвовать в архитектуре и ревью кода
Встреча 15 августа онлайн.
Location: Huntsville, AL
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
We are looking for a highly versatile
Data Scientist / AI Engineer
who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations.
The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions.
This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases.
A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance.
Responsibilities:
Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.
Education / Experience (Requirements):
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
Ability to manage multiple priorities and work independently in a fast-paced environment.
Preferred Qualifications:
Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data.
Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization.
Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD.
Experience with forecasting, optimization, workforce planning, or process improvement.
Technical Skills
Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker.
#LI-TF1
Recruiting Range
$90,000
—
$100,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Remote-Virginia
Workplace: Remote
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As a Technical Account Manager in our Federal Civilian Client Success team, you'll guide our most strategic government customers in building and scaling enterprise automation and Agentic AI programs. Your role will be critical in ensuring federal agencies achieve maximum business value from the UiPath Platform by serving as both a trusted technical advisor and hands-on technical expert.
You will work across all levels of government organizations—from developers and architects to operational leaders and executive stakeholders, helping customers solve complex technical challenges, accelerate adoption, and realize measurable outcomes. This role is ideal for a highly technical, customer-facing professional who thrives in ambiguity, enjoys solving difficult problems, and is comfortable both advising and directly contributing to technical solutions when needed.
WHAT YOU'LL DO AT UIPATH
- Build and deliver working POCs, agent prototypes, and automation accelerators directly within federal customer environments to fast-track agentic adoption while ensuring compliance with government security requirements.
- Candidates must be authorized to work in the United States for this role
- Develop reusable POC templates, deployment accelerators, and agentic solution patterns that the CS organization can replicate across the federal civilian portfolio.
- Own the technical success of strategic federal civilian customers, serving as the primary technical advisor throughout their UiPath journey.
- Provide proactive technical guidance to mature automation and Agentic AI programs, helping federal agencies expand their vision of what is possible with the UiPath Platform while driving measurable adoption, mission outcomes, and value realization.
- Assess customer environments, identify technical risks and opportunities, and independently drive actions that result in accelerated adoption, reduced risk, and measurable mission value.
- Guide to platform architecture, infrastructure planning, deployment strategies, upgrades, performance optimization, and troubleshooting activities within government security frameworks.
- Conduct technical health checks and maturity assessments, identifying opportunities to improve scalability, governance, reliability, and adoption in compliance with federal standards.
- Deliver technical advisory services while also providing hands-on support, solution development, proof-of-concept creation, troubleshooting, and code reviews when appropriate.
- Partner with customer technical teams to design solutions leveraging automation, AI, orchestration, integrations, and emerging agentic capabilities that meet federal compliance requirements.
- Collaborate closely with Product Support, Product Management, Engineering, Professional Services, and Solution Engineering to resolve complex customer challenges.
- Collaborate with relevant UiPath Infrastructure and security teams to ensure AI governance, security, and compliance considerations, especially for federal customers operating under FedRAMP, FISMA, and other government security frameworks.
- Enable customer stakeholders on UiPath for best practices and emerging capabilities through workshops, presentations, technical reviews, and strategic planning sessions.
- Stay current on advances in Agentic AI, Generative AI, LLMs, automation technologies, and federal government trends, helping customers translate innovation into mission outcomes.
- Maintain an understanding of contract utilization to drive shelfware consumption and positively impact commercial events.
WHAT YOU'LL BRING TO THE TEAM
Required Qualifications:
- 10+ years of experience in Technical Account Management, Solution Architecture, Technical Consulting, Professional Services, Software Engineering, or similar customer-facing technical roles, preferably supporting federal government customers.
- Direct, hands-on experience implementing, supporting, or architecting solutions on the UiPath Platform.
- Strong knowledge of enterprise automation technologies, software development practices, cloud platforms, integrations, APIs, and enterprise architecture concepts.
- Hands-on experience building agentic or LLM-powered solutions, including prompt engineering, tool/function design, agent orchestration, and output validation.
- Demonstrated ability to diagnose complex technical challenges, navigate ambiguity, and develop creative, practical solutions to difficult customer problems.
- Experience balancing technical advisory work with hands-on technical execution, including troubleshooting, development, configuration, or solution design.
- Strong communication, presentation, and facilitation skills with the ability to explain complex technical concepts to both technical and business audiences.
- Proven ability to operate independently, prioritize effectively, and drive work to completion with minimal oversight.
- Experience working in fast-paced, rapidly evolving technology environments.
- Strong customer-facing consulting skills with a focus on building trust and delivering measurable outcomes.
- Automation-first mindset and should provide contributions to reusable assets, best practices, and broader Client Success team enablement.
- Able to attend in-person collaboration in Northern Virginia twice a month.
Preferred Qualifications:
- Experience with Agentic AI, Generative AI, large language models (LLMs), AI orchestration frameworks, Retrieval-Augmented Generation (RAG), MCP, Intelligent Document Processing, or related technologies.
- Experience with UiPath Agent Builder, Maestro, AI Center, Communications Mining, Document Understanding, Integration Service, and other advanced platform capabilities.
- Experience programming in .NET, C#, Java, Python, or similar languages.
- Experience with cloud platforms including Azure Government, AWS GovCloud, or Google Cloud.
- Federal civilian government experience, including experience working within, supporting, or consulting federal agencies, departments, or government technology environments.
- Familiarity with federal operational workflows, including experience with mission-critical systems, citizen services, grants management, case management, or federal IT ecosystems.
- Understanding federal compliance frameworks including FedRAMP, FISMA, NIST 800-53, Authority to Operate (ATO) processes, and government security requirements.
- Active security clearance or ability to obtain and maintain a security clearance (Secret or higher preferred).
- Experience with government contracting vehicles such as GSA Schedule, SEWP, or other federal procurement mechanisms.
- Bachelor's degree in computer science, Engineering, Information Systems, or related field.
- Demonstrate agility in learning and adopting emerging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or equivalent) to support customer development teams and drive adoption of UiPath capabilities within government security boundaries.
Success in This Role
Top-performing Federal Civilian TAMs are highly technical problem solvers who combine deep platform expertise with strong customer engagement skills and an understanding of government operations. They are self-starters who can independently assess a federal agency environment, identify what needs to be done, and execute within compliance frameworks. They thrive in complex situations, embrace emerging technologies, understand the unique challenges of government customers, and confidently move between strategic advisory conversations and hands-on technical work to help federal agencies achieve meaningful mission outcomes.
#LI-KS6
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Palo Alto; New York
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
• Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
• You have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
• You’re an expert with PyTorch or JAX.
• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
• You write clean, readable, high-performance, fault-tolerant Python code.
• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.
• Low-ego, collaborative and eager to learn.
• You have a track record of success through personal projects, professional projects or in academia.
NICE TO HAVE
• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning, Computer Science & Engineering), but if you’re an exceptional candidate from a different background, you should apply.
• Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).
• Have contributed to a large codebase used by many (open source or in the industry).
• Have a track record of publications in top academic journals or conferences.
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Singapore
About the Role
About the Role
At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.
Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms).
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion.
Strategic Alignment:
Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer’s evolving business goals and our product roadmap.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
AI Orchestration & Workflow Automation:
Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory.
Desirable Skills, Knowledge, and Experience
Experience:
Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Technical Acumen:
Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture.
Commercial Mindset:
Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication:
Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Language skill:
Bilingual in English and Cantonese as you will be supporting Hong Kong customers.
Cloudflare Developer Stack Experience:
Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway.
Applied AI Knowledge:
Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures.
Coding/Scripting:
Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Compensation
Compensation
This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Требования:
— 5+ лет в production ML/NLP: системы, которые вы поддерживали после запуска
— техническое лидерство: решения по стеку за команду, ревью, ответственность за сдачу шире своих задач
— RAG целиком: гибридный поиск, чанкинг, реранкинг, методика оценки
— self-hosted инференс открытых моделей, квантизация, расчет GPU
— eval-наборы: чем вы докажете, что новая версия не хуже прошлой
— развертывание в закрытом контуре, на инфраструктуре заказчика
Половина роли техническая, половина переговорная: защищать архитектуру и метрики качества перед ИТ-директором заказчика.
Условия:
— Оплачиваемый испытательный срок
— Бонусы за сдачу проектов
— Офис в Алматы
— Зарплата: 1 000 000 – 1 400 000 ₸
Location: Hong Kong SAR; Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Job responsibilities
Red-blue confrontation drill
Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems.
Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery.
Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages.
Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines.
Attack Surface Analysis and Threat Research
Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations.
Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises.
Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets.
Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows.
AI Security and Large Model Attack and Defense
Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain and model services within the enterprise.
Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc.
Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary.
Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction.
Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities.
Tool and platform development
Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation.
Study and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios.
Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities.
Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling.
Security evaluation and reporting
Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations.
Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations.
Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities.
Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms.
XFN collaboration
Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building.
Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training.
Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline.
Job requirements
Basic skills
Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices.
Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc.
Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use.
Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments.
Offensive and defensive technical capabilities
Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning.
Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system.
Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks.
Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction.
AI security capabilities
Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, and plugin systems.
Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc.
Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks.
Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing.
Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation.
Experience requirements
More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises.
Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred.
Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred.
Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective.
Other capabilities
Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc.
Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans.
Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance.
Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally.
Bonus points
Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc.
Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security.
Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction.
Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework.
Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction.
Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community.
Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems.
The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop.
Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible.
Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production.
What you'll do
Design and deliver production-grade agents.
Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic.
Own the agent work; support the whole product.
Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development.
Build agents only Honeycomb can build.
Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy.
Extend the surface, and decide what's next.
Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both.
Define what "good" means for agents here.
Set the bar: measurable against real evals, maintainable, and honest about their limits.
Example projects
Multiple agents collaborating on one shared Canvas investigation
each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog).
Auto-investigation the moment an SLO burn alert fires
the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026).
Skills that encode a team's domain expertise
e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026).
What you'll bring:
AI and agent engineering experience.
You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it.
End-to-end ownership.
On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering.
Current judgment, not just past experience.
You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today.
Agent architecture depth.
You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that.
Product judgment.
You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck.
Even better
Observability or developer-tools background.
Engineers are your users; you'll ramp faster with fluency in that world, and the work is better.
Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering.
Base Salary based on level of experience
$183,340
—
$206,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
seniorIsrael; By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed
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Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland
Tokyo, Japan
УдалённоGermany; France; Netherlands; Spain; We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds
УдалённоRemote - US
Dubai, United Arab Emirates
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УдалённоRemote-Virginia
ГибридPalo Alto; New York; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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