Location: Korea
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
WHAT YOU’LL DO
Customer-Facing Technical Impact
- Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
- Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
- Travel up to 20–40% to work on-site with customers and partners
Agent Design, Build and Production launches
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Team Mentorship & Organizational Impact
- Mentor engineers across distributed teams.
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
- Contribute to shared frameworks and patterns that enable consistent delivery across customers.
REQUIRED SKILLS & EXPERIENCE
Technical Foundations
- Demonstrated ability to build, ship, and operate production-grade software systems.
- Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
- Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
- Strong proficiency in Python and/or JavaScript/TypeScript.
Experience and Leadership
- Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
- Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
ADDITIONAL REQUIREMENTS
- Strong written and verbal communication skills.
- Fluency in English and Korean language.
IT’S A BONUS IF YOU HAVE:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Location: Воронеж
Наша команда занимается сопровождением Интеллектуальной системы управления, которая позволяет повысить эффективность руководителей и сотрудников Сбера, автоматизируя процессы, внедряя AI-помощников и GenAI для принятия лучших решений и развития подчиненных.
Обязанности
* сопровождение инфраструктуры автоматизированных систем (порядка 200 серверов)
* развертывание и настройка приложений на OpenShift/K8s
* настройка интеграционных взаимодействий между системами
* работа с рисками безопасности, возникающими при эксплуатации
* участие в устранении и разборе инцидентов
* подготовка инструкций для тиражирования решений, опробованных на тестовых средах в ПРОМ
* участие в пилотировании новых инструментов
* проведение плановых работ.
Требования
* опыт администрирования Linux
* опыт диагностики проблем и поиск корневой причины
* Ссистемное мышление, аналитические способности
* высокий уровень ответственности и стрессоустойчивости
* высокая коммуникативность.
**Будет приветствоваться:**
* знание методологии SRE
* навыки работы с генеративными AI-моделями
* опыт работы с контейнеризацией приложений (K8s, OpenShift).
* опыт работы с системами мониторинга (Zabbix, Grafana, Prometheus, GATM, Victoria metrics)
* понимание процессов и требований информационной безопасности (работа с сертификатами (выпуск, проверка, замена), знание принципов mTLS, SSL)
* опыт работы с инструментами логирования и доставки сообщений (ELK, Kafka)
* опыт работы с инструментами DevOps (Git, BitBucket, Nexus, Jenkins)
* базовые знания программирования и автоматизации задач (bash, python)
* базовые знания SQL.
Условия
* официальное оформление с первого дня
* график работы 5/2, частичный удаленный режим
* расширенный ДМС с первого дня работы для сотрудников и льготная медицинская страховка для близких
* корпоративное обучение за счет компании
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* корпоративная пенсионная программа
* корпоративный спортзал.
Location: Москва
Мы — центр компетенций по работе с данными в одном из ведущих банков страны. Наш контур — это тысячи критических ETL-процессов, обеспечивающих принятие решений на уровне топ-менеджмента и бесперебойную работу розничных сервисов.
Сейчас мы строим платформу индустриализации ETL — это «фабрика по производству пайплайнов», где Core на Scala/Spark, умный CI/CD и прозрачный UI объединены в единый Self-Service продукт.
Мы ищем TechLead, который возьмет на себя архитектурную целостность этого сервиса, сможет вывести команду инструментов на новый уровень надежности и станет связующим звеном между инфраструктурой и командами-потребителями данных.
Обязанности
* спроектировать ядро платформы: построить универсальный ETL-фреймворк на Scala/Spark, полностью абстрагировав бизнес-логику от инфраструктурного кода
* настроить промышленный CI/CD: внедрить автоматический деплой пайплайнов через Git (Dev → QA → Prod) с авто-тестированием, линтингом и бесшовной подгрузкой секретов из Vault
* управлять технологическим стеком: принимать стратегические решения по выбору целевого технологического стека и лидировать процесс перехода на него, внедрение AI
* возглавить команду инженеров: лидировать 3 стрима разработки (UI, CI/CD, Core ETL), выстроить жесткие стандарты Code Review
Требования
* наличие высшего технического образования
* опыт управления командой 8-12 инженеров (Data + DevOps + UI)
* уверенное владение SQL, Scala, Java, Python, Groovy, Bash, JavaScript
* опыт работы с базами данных: Apache Spark, Apache Flink, Apache Iceberg, HDFS, YARN, Kubernetes, S3-совместимые хранилища, ClickHouse, PostgreSQL
* экспертный уровень Jenkins Pipeline as Code (Groovy) с организацией Shared Libraries, опыт настройки многостадийных пайплайнов
* опыт построения отказоустойчивых и высоконагруженных ETL-платформ, понимание микросервисной архитектуры
* базовое знание фреймворка React, проектирование асинхронных систем (опыт с Celery, Redis)
* экспертиза в AI & Инновациях: LangChain/LlamaIndex, RAG, интеграция LLM для генерации кода и аномалийного детектирования, AI-подсказки в UI
Условия
* офисный формат в Москве (ул.Поклонная, 3к1)
* ежегодный пересмотр зарплаты и годовая премия
* расширенный ДМС и льготное страхование для семьи
* уникальная система обучения Сбера для профессионального и карьерного развития
* выгодная ипотека для сотрудников
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративная пенсионная программа.
Location: Warsaw, Poland; Wroclaw, Poland
On behalf of
CloudSec Client #1
, SD Solutions is looking for a talented
Backend Team Lead.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Kafka, ElasticSearch, Redis, Azure ADX, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps, Research, Product) to deliver best-in-class features
Requirements:
Bachelor of Science in Computer Science/Software Engineering or related field
5+ years of experience with Backend Engineering
in a high-level programming language
(e.g. Java, C#, Python, Go)
3+ years of experience as a Team Lead
Experience with cloud platforms and products (e.g. AWS, GCP and Azure)
Experience implementing data-intensive systems (message queue technologies)
Experience with microservices-based architecture
Advantages:
Experience in the cybersecurity industry - advantage.
About the company:
A next-generation cloud security platform that leverages runtime context to identify and prioritize critical risks. Unlike conventional tools, it uses runtime data proactively for risk prioritization and posture insights, with eBPF-powered sensors. Capabilities include agentless cloud posture discovery, real-time threat protection, and integrated API security — providing end-to-end protection from misconfigurations to malware defense.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
• Довести до стабильной работы частично готовый конвейер SEO-контента: от сбора требований и фактов о бренде до генерации, проверки статей и сборки сайта; • Создавать автоматизации для команды: парсеры, боты, отчёты, инструменты для сборки сайтов и работы с доменами;
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer (Full Stack) - Merchants
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We partner with some of the largest grocery retailers in the world, as well as a large number of small independent grocers.
The Team:
MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands.
We’re looking for a
Senior Software Engineer - Full Stack
to join our
London
team. In this role you'll work across the stack, from the backend services and integrations that handle merchant discovery, matching and onboarding to the web tools sales and operations teams use to quote and sign merchants. You'll own features end to end, partner closely with Product and Design, and lead technical planning as we move core sales workflows off Salesforce and onto our own platform
Get to know our
Engineering team
— what drives us, how we work, and what you can expect.
What You’ll Be Doing
This role is based in our London office with a
hybrid
setup, typically 3 days in the office.
Here’s what your day-to-day might look like:
Drive technical execution
by designing, building, and scaling backend services and frontend components that handle high-traffic workloads (20krpm and above).
Lead architectural improvements
and code reviews, ensuring the efficiency, visibility, and operational health of your team's systems.
Partner with cross-functional disciplines
(PMs, Experience Designers) to plan projects, foresee dependencies, and mitigate technical risks.
Break down complex problems
into deliverable choices, influencing the roadmap and technical direction within your team.
Support the growth of others
by mentoring colleagues and taking an active role in our engineering hiring process to build high-performing teams.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Significant experience building web-based applications
in a modern stack; we use Go, Ruby, Python, and Scala, and we’re looking for someone keen to work across them.
Proven ability to design and operate web architecture at scale
, specifically with systems handling significant request volumes.
Demonstrated ownership of relational databases
(PostgreSQL, MySQL) and experience with "NoSQL" backends such as Redis, DynamoDB, or Elasticsearch.
A commitment to software craft
, with a pride in writing readable, well-designed, and thoroughly tested code.
Strong collaborative leadership skills
, with a track record of guiding implementation choices and supporting the personal growth of teammates.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages.
Explore our Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
• От 3 лет опыта в ML Engineering, Data Engineering или DevOps с развёртыванием и поддержкой ML-систем в продакшене. • Опыт построения ML training pipelines с experiment tracking и model registry (MLflow, W&B или аналоги).
Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office.
Get to know our
Engineering
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health.
Here’s what your day-to-day might look like:
Design and scale backend services for our real-time marketplace using languages such as Go, Ruby, or Python.
Improve code structure and architecture by participating in deep technical discussions and reviewing code across your team’s remit.
Enhance system reliability by focusing on visibility, monitoring, and the overall health of production systems.
Collaborate across teams to identify integration opportunities and influence the technical roadmap within your domain.
Take an active role in the hiring process, conducting engineering interviews and supporting the growth of your peers.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Pride in readable, well-designed, and well-tested software, with a focus on long-term maintainability.
Experience writing web-based applications in any modern language (Go, Ruby/Rails, Python, Scala, or Rust).
Solid understanding of relational databases (such as PostgreSQL or MySQL).
Familiarity with web architecture at scale, ideally handling high-traffic environments (20krpm and above).
Exposure to NoSQL data backends or caching layers like Redis, DynamoDB, or ElasticSearch.
A problem-solving mindset, particularly when applied to complex logistical or marketplace challenges.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day.
🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support.
🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our
Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Москва
Мы развиваем GigaChat и ищем сильного ML-инженера. В команде есть три направления: decision models, эмбеддинги и поиск, AI Safety. Во всех направлениях планируем мультимодальность.
Вы будете вести свои задачи от подготовки данных до обучения, оценки и внедрения вместе с командой: писать код, проверять гипотезы и проводить воспроизводимые эксперименты.
Обязанности
**1\. Decision models**
• Обучать модели принятия решений для классификации, выбора и оценки; проверять калибровку вероятностей, качество и скорость инференса.
• Разрабатывать обучающие данные и методы оценки, исследовать мультимодальные решения и внедрять модели в продукты.
**2\. Эмбеддинги и поиск**
• Развивать Giga-Embeddings: данные и синтетика, contrastive learning, hard negatives, дистилляция в компактные модели. Разработать решения для поисковых пайплайнов, где требуется индексировать миллиарды документов.
• Проверять качество на MTEB / ruMTEB и продуктовых задачах поиска и ранжирования; развивать мультимодальность и внедрять модели в продукты.
Наша [Giga-Embeddings-instruct](https://huggingface.co/ai-sage/Giga-Embeddings-instruct) — №1 по скачиваниям среди открытых моделей Сбера на Hugging Face, №1 на русскоязычном бенчмарке ruMTEB и сопоставима по качеству с зарубежными аналогами. Также мы [пишем и публикуем статьи](https://aclanthology.org/2025.bsnlp-1.3/) на топовых мировых конференциях уровня A\*.
**3\. Safety**
Мы считаем, что GigaChat потихоньку приближается к AGI. И поэтому нам нужен контур безопасности против опасного использования моделей в кибератаках, создании биологического и ядерного оружия и других сценариях высокого риска.
• Дообучать LLM на безопасность через online RL: готовить данные и reward-сигналы, обучать guard-модели и оценивать устойчивость защит.
• Проводить red teaming, создавать тесты по cyber-, био- и ядерным рискам, проверять jailbreak и prompt injection; учитывать новые атаки в обучении.
• Контролировать пропущенные нарушения, ложные срабатывания и избыточные отказы; развивать безопасность мультимодальных моделей.
Требования
**Требования**
• Уверенные Python и PyTorch, практический опыт обучения нейросетей.
• Понимание архитектур, функций потерь и оптимизации; умение готовить данные, выбирать метрики и анализировать результаты.
• Умение читать статьи и реализовывать методы в коде. Опыт post-training или готовность освоить его на практике.
**Будет плюсом**
• Decision models, обучение эмбеддеров и мультимодальных моделей, distributed training и оптимизация инференса.
• Online RL, RLHF / RLVR, DPO, reward- и guard-модели, red teaming; публикации или open-source вклад.
Условия
* Комфортный современный офис рядом с м. Кутузовская.
* Возможность выбрать удобный график – офис/гибрид и также работать на удаленке три месяца в год.
* Ежегодный пересмотр зарплаты, годовая премия.
* Корпоративный спортзал и зоны отдыха.
* Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития.
* Программа адаптации и помощь руководителя на старте (для Junior позиций).
* Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.
* Льготная ипотека для каждого сотрудника.
* Бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров.
* Вознаграждение за рекомендацию друзей в команду Сбера.
* Корпоративная пенсионная программа.
* Отсутствие строгого дресс-кода.
Location: France
Workplace: Hybrid
Global Services helps Chainalysis customers turn blockchain data and investigative tools into practical results. Our customers include law enforcement, national security teams, financial institutions, and organisations across the crypto industry.
We’re looking for a Deployment Strategist, Crypto Investigations, to join Global Services and support public-sector customers in France, particularly law enforcement and intelligence teams. You’ll use your investigative experience and technical skills to help customers get the most out of Chainalysis products. This is a hands-on, customer-facing role focused on investigations and practical problem-solving rather than software engineering.
You’ll work with customers throughout their engagement with Chainalysis, from understanding their needs and conducting investigations to developing workflows, delivering training, and helping them build their own capabilities. You’ll need sound investigative judgement, strong French communication skills, and the ability to build trusted relationships with customers.
In this role, you’ll:
- Support customer engagements from initial discovery and pre-sales through investigations, solution delivery, training, and ongoing support
- Conduct blockchain investigations using Chainalysis products, particularly Reactor
- Work with law enforcement, intelligence, and other public-sector customers to understand their objectives and help them achieve practical results
- Build and adapt investigative workflows, queries, reports, and dashboards using Chainalysis tools and data
- Help customers put investigative workflows into practice and develop the skills to use Chainalysis independently
- Build trusted customer relationships by providing practical investigative guidance and product expertise
- Lead customer meetings, demonstrations, investigative walkthroughs, training sessions, and technical briefings
- Support pre-sales discussions by understanding customer requirements and explaining how Chainalysis can help
- Share customer feedback and investigative insights with Product, Engineering, Global Intel, and Sales
- Share investigative techniques and best practices with colleagues across Global Services
We’re looking for candidates who have:
- Experience conducting or supporting investigations in law enforcement, policing, intelligence, or a related field. Candidates with relevant crypto or financial-crime investigation experience from other backgrounds will also be considered
- Experience working with public-sector, law-enforcement, intelligence, or other mission-focused stakeholders
- Strong investigative judgement and the ability to explain findings clearly and build credibility with customers
- The technical aptitude to learn investigative platforms and work with data; extensive software-engineering experience is not required
- The ability to analyse complex information and communicate findings to both investigators and senior stakeholders
- The flexibility to work across pre-sales, customer delivery, and ongoing support
- Fluency in French, with the ability to work confidently with French-speaking customers
- The ability to be based in France, ideally in Paris
REQUIRED SKILLS
TECHNICAL SKILLS
- Confidence using investigative tools and the ability to develop expertise in Chainalysis Reactor
- Ability to work with investigative data and turn customer requirements into practical workflows, queries, and reports
- Familiarity with blockchain investigation tools or analytical workflows is an advantage; Python and SQL are not required
- Ability to learn Chainalysis products and understand how their data can support customer investigations
DOMAIN EXPERTISE
- Experience in law enforcement, policing, intelligence, financial crime, or another relevant investigative field
- Understanding of investigative objectives, operational workflows, and the outcomes customers need to achieve
- Ability to use investigative judgement to guide an investigation and advise customers on their approach
CUSTOMER & COMMUNICATION SKILLS
- Ability to build trusted customer relationships through investigative knowledge and practical support
- Excellent spoken and written French, including the ability to explain complex investigative concepts clearly
- Confidence leading customer meetings, briefings, demonstrations, and training sessions
- Ability to help customers develop their own skills and use Chainalysis tools independently
DAY TO DAY ACTIVITIES
- Conduct investigations using Chainalysis tools, primarily Reactor, based on customer requirements
- Prepare investigative reports, workflows, queries, and other analytical outputs
- Work directly with customers to develop and implement investigative workflows
- Deliver hands-on training, walkthroughs, and knowledge-sharing sessions
- Lead demonstrations, investigative briefings, and solution presentations
- Support pre-sales discussions, technical discovery, and solution scoping
- Gather customer feedback and share practical recommendations with Product, Engineering, and Global Intel
- Manage multiple customer engagements while maintaining quality and responsiveness
- Continue developing knowledge of blockchain investigations and emerging crypto-related threats
PERSONAL ATTRIBUTES
- Curious about blockchain technology, crypto crime, and investigative techniques
- Able to communicate clearly and adapt to different audiences
- Comfortable taking ownership and making sound decisions in situations where the path forward may not be clear
- Collaborative and willing to work across teams
- Keen to develop specialist knowledge and share it with others
NICE TO HAVE EXPERIENCE: [ICING ON THE CAKE, NOT A DEAL BREAKER]
- Previous experience using Chainalysis products
- Experience with cryptocurrency investigations, blockchain analytics, or financial-crime analysis
- Experience in traditional finance or financial investigations
- Experience providing expert evidence or supporting legal proceedings
- Familiarity with compliance frameworks such as BSA/AML, sanctions screening, MiCA, or the Travel Rule
- Experience with data platforms such as Databricks, Snowflake, or cloud-based analytics tools
- Published research, intelligence reports, or other work relating to blockchain analytics or financial crime
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Управление командой разработки в продуктах систем класса DWH - распределение задач, найм менторинг и развитие подчиненных, контроль и ответственность за результат команды; Формирование технических решений;
Location: Москва
Мы - команда, создающая **комплексную систему противодействия мошенничеству** и обеспечивающая online/offline безопасность миллионов клиентов банка 24/7/365, предоставляя инструменты **собственной разработки** для:
* Построения графа связей (позволяет проанализировать не только объекты и их свойства, но также их связи с другими объектами различных уровней и характеристик и применяется для получения дополнительных знаний об объекте за счет извлечения знаний о его окружении, выявления наиболее значимой информации, центров влияния, групп связанных объектов, цепочек)
* Геопространственой аналитики: анализа локаций, построения маршрутов и тепловых карт
* Выявления и анализа попыток мошенничества и иных отклонений
* ·Портфеля технологичных сервисов накопления и обработки больших объемов данных со сложной структурой
Мы находимся на передовой технологических инноваций, соединяя возможности ИИ, современные технологии и потребности общества. Наше направление AI-трансформации — это стратегическая инициатива по интеграции LLM-агентов и мультиагентных систем в собственную аналитическую платформу:
* AI-решения для глубокого анализа данных
* Набор AI Tools, дающих агентам доступ к инструментам и сервисам платформы
* Собственная no-code/low-code платформа для оркестрации AI-агентов и автоматизации рабочих процессов
* Интеграция с внутренними LLM-шлюзами и средами исполнения агентов
* RAG-системы для работы с корпоративными базами знаний и методологиями
Обязанности
* Анализ источников данных
* Обеспечение прозрачности и точности в сборе данных, отчетности и визуализации
* Внедрение новых интеграций и аналитических методик
* Компиляция данных из различных источников
* Создание ETL-процессов
Требования
* Знание SQL: сложные запросы, аналитически функции, понимание физической реализации join’ов, оптимизация производительности запросов
* Опыт создания читабельных Jupyter-ноутбуков
* Знакомство с основными аналитическими библиотеками Python (pandas, numpy, scipy, statsmodels, pychart)
* Понимание принципов организации хранилищ данных, подходов к проектированию логической и физической моделей
* Опыт работы в GIT
**Будет плюсом**
* Знания экосистемы Hadoop: HDFS, Spark, Scala
* Понимание основ математической статистики и теории вероятностей, умение применять их при решении аналитических задач
* Опыт принятия продуктовых решений на основании данных;
* Знание базовых ML-подходов и DG (data governance)
* Опыт написания технической документации
Условия
* Инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти
* Среда для обмена знаниями – высокая экспертиза внутри команды
* Сплоченную команду, работающую над общими задачами и умеющая хорошо отдыхать
* Нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам
* Стабильную заработную плату и приятный годовой бонус
* Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorWe believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
