Вакансии

Location: Mexico Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: London Workplace: OnSite 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. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: Amsterdam Workplace: OnSite 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. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: London Workplace: OnSite 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. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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.

- Поддержка работоспособности и отказоустойчивости сервисов и компонентов платформы; - Автоматизация процесса подготовки окружений, тестовых сред, сборки и развертывания приложений;

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd Cloud, Infra, Data & Security is growing fast, and our architecture leadership needs to keep up. We need someone who can take an unclear problem, define it, design the answer, and make sure it ships. You'll set technical direction across cloud, infrastructure, and data. You'll shape engagements and roadmaps before they're committed. And you'll stay close enough to delivery that what we design is what gets built. We operate AI-first: you'll use AI as a daily tool to move faster and multiply what you and the teams around you can deliver. There will be ambiguity. That's the job. The plans don't exist yet, and you'll help write them. WHY THIS ROLE, WHY NOW: - You'll help define the business, not inherit it. The Cloud BU is rapidly scaling. The patterns, standards, and team habits you set now become how we operate. - The scope is broad on purpose. It covers cloud foundations, Kubernetes platforms, data, and AI workloads, so you won't be boxed into one layer. - Decisions move quickly. You'll work directly with BU leadership, and decisions take days, not quarters. - The problems are current. The work is getting AI workloads into production safely, building data platforms that are governed, and keeping cloud spend under control. WHAT YOU'LL OWN: - Architecture direction. You'll define reference architectures, landing zones, and standards across AWS and Azure, Kubernetes, and infrastructure-as-code. You'll decide what we standardize and what we leave flexible. - Data and AI platforms. You'll design lakehouse and warehouse, streaming, and governance patterns. You'll also design the platform layer that moves GenAI and agentic workloads from prototype to production, covering access control, evaluation, observability, and cost guardrails. - Solution shaping. You'll lead technical discovery, size and de-risk the work, and write the solution designs and technical scope that teams commit to. - AI-accelerated delivery. You'll use AI tools across the architecture lifecycle: discovery synthesis, design drafts, IaC and code generation, review, documentation, and estimation. You'll turn what works into repeatable patterns and prompts the team adopts. You'll also set the guardrails for how AI is used with client and production data. - Security and compliance by design. You'll own IAM, network segmentation, secrets management, and logging. Your designs need to hold up to SOC 2, ISO 27001, and regulated-industry scrutiny without slowing delivery down. - Cost and operability. Every design ships with a run cost, reliability targets, an observability plan, and a rollback path. - Raising the bar. You'll run design reviews, mentor architects and senior engineers, and turn repeat solutions into reusable accelerators. WHAT YOU BRING: Have 12+ years in infrastructure, cloud, or data engineering, including several years as the accountable architect for production systems at scale. Have deep hands-on experience with AWS and/or Azure, production Kubernetes, and Terraform (or an equivalent IaC tool). You can still review a pull request credibly. - Have designed and shipped modern data platforms, such as [Databricks / Snowflake / Fabric / Redshift], including governance and data quality, not just pipelines. - Think security-first. IAM design, zero-trust networking, encryption, and audit readiness are defaults for you, not afterthoughts. - Use AI as a force multiplier, not a novelty. You can show concrete examples of AI shortening your delivery timelines or expanding your output. You also know where it fails, and you verify what it produces before anything reaches production. - Can explain a tradeoff to a CFO in the morning and debug it with an engineer in the afternoon. - Act under ambiguity. You write the first draft of the plan instead of waiting to be handed one, then adjust it as you learn. NICE TO HAVE - You've put GenAI or LLM systems into production (RAG, evaluation, guardrails, agent orchestration). - You have multi-cloud or hybrid experience at enterprise scale. - You've worked in regulated industries such as financial services, healthcare, or the public sector. - You hold AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA. These help but aren't required. - You've built an architecture practice or center of excellence from an early stage. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• 5+ лет в product management, опыт в fintech или data-продуктах. • Опыт с GenAI / LLM / AI-ассистентами и агентами.

• Build and maintain data pipelines and integrations with source systems (ERP K-Soft / 1С, Qlik Sense); • Strong Python (pandas, scikit-learn, and ML/DL frameworks) and SQL;

About the Role This is a hands-on engineering position combining software development, solution design, prototyping, and direct customer interaction. You will work closely with enterprise customers to understand their operational processes, existing systems, technical constraints, and business pain points — and then help translate those needs into practical technical solutions. The role is ideal for someone who is technically strong but also comfortable working directly with business and technical stakeholders. What You Will Do — Work directly with enterprise customers to understand workflows, systems, and pain points — Gather and clarify requirements with business and technical stakeholders — Translate ambiguous business needs into technical solutions — Build prototypes, integrations, and production-ready functionality — Design and implement APIs and system integrations — Work with databases and data integration flows — Support cloud-based solution design and implementation — Explain technical decisions, trade-offs, and architecture clearly to customers — Collaborate with internal engineering and delivery teams — Take ownership of solutions from initial discovery through implementation — Participate in customer meetings and occasional business trips to Paris MUST HAVE — Strong software engineering / programming background — Hands-on experience building production systems — Experience with APIs and system integrations — Strong understanding of databases and data integration — Experience with cloud platforms and services — Ability to prototype and implement solutions quickly — Strong problem-solving skills and ability to work with incomplete or evolving requirements — Excellent customer-facing communication skills — Confidence working with both technical and non-technical stakeholders — Ability to ask the right questions and explain technical concepts clearly — Availability for occasional business travel to Paris Nice to Have — AI / Machine Learning experience — LLM-based applications — AI Agents / Agentic workflows — RAG or GenAI integrations — Experience in consulting, solutions engineering, technical presales, or customer-facing engineering — Enterprise integration or digital transformation projects What We’re Looking For We are looking for someone who is not only a strong engineer, but also comfortable being close to the customer. You should enjoy understanding how a business actually works, identifying what needs to be improved, and turning that understanding into a practical technical solution. Conditions — Location: EU — Business travel: occasional trips to Paris, fully covered by the company What We Offer — Small-company feel within a fast-growing international environment — Friendly, collaborative, and mission-driven team — Fully paid business trips to Paris — 25 calendar days of vacation + 5 additional paid sick days — Medical insurance — Corporate English courses — Corporate events and team-building activities — Support with professional certifications — Reimbursement for professional courses and training — Long-term international projects — Opportunities for professional and technical growth

Location: Москва Ищем QA инженера в команду разработки AI Бизнес-помощника внутри интернет-банка для предпринимателей (СберБизнес). Цель нашего Помощника- взять на себя рутинные банковские операции, помочь подобрать сервисы, подходящие конкретному пользователю, подсказать возможные векторы развития его бизнеса на основе предыдущих результатов работы. Взаимодействие пользователя с Помощником происходит через чат, под капотом которого - LLM, RAG, MCP и, конечно, классические прикладные сервисы. Система семантически различает сотни смежных бизнес-сценариев, извлекает критическую информацию и подключает профильные GenAI-инструменты для выполнения операций. Над чем предстоит работать в ближайшее время: * научить систему лучше запоминать и использовать факты о пользователе, чтобы подстраиваться под его особенности и контекст; * развивать платформу для агентов, которые действуют на опережение — сами инициируют полезные операции или предупреждают о важных событиях без явного запроса; * усиливать безопасность и отказоустойчивость системы; * совершенствовать архитектуру, чтобы компоненты и процессы координировались быстрее и точнее. О нас: https://www.sberbank.ru/ru/s\_m\_business/giga-assistant Обязанности * Разработка тестовых сценариев, подготовка данных и проведение тестирования Мультиагентной системы (функционального, интеграционного, регрессионного). * Создание и поддержка тестовой документации (чек-листы, тест-кейсы, отчеты). * Анализ качества тестового покрытия и его оптимизация. * Участие в анализе и верификации новых требований вместе с командой. * Разработка и поддержка тестовых моделей. * Работа с логами, фиксация, анализ, воспроизведение дефектов. * Автоматизация api тестов на языке Java. Требования * Опыт тестирования Web приложений. * Опыт тестирования диалогового UX * Знание как работает клиент-серверное приложение. * Знание методик ручного тестирования Web приложений. * Знание инструментов поддержки процесса разработки ПО (Git, Jira, Bitbucket, Jenkins). * Знание основ REST. * Опыт тестирования API (Postman). * Знание реляционных БД на уровне понимания структуры и основных сущностей. * SQL на уровне написания базовых запросов. * Опыт написания автотестов, знание Java, знание SpringBoot. **Будет плюсом:** * Понимание принципов работы с очередями (Kafka). * Знание фреймфорков автотестирования (JUnit, Rest Assured). * Опыт тестирования систем, интегрированных с LLM. Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * 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: Crete, Greece; Athens, Greece; Aya Napa, Cyprus; Larnaca, Cyprus; Nicosia, Cyprus; Limassol, Cyprus; Paphos, Cyprus; Paralimni, Cyprus Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Digital Analytics Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Support enterprise clients in solving data-related challenges across digital analytics, data warehousing, AI, and data product development. Work with proprietary data and AI solutions, including a Customer Data Platform processing over 137 million digital sessions per month and AnalyticsAI, a GenAI platform designed to automate analytics tasks. Collaborate with leading enterprise clients, including Publicis, Philip Morris across seven markets, Eurobank, Piraeus Bank, DEH, and OPAP. Good communication skills and strong English, both written and spoken. At least 1 year of professional experience as a Data Engineer or Analytics Engineer. Hands-on experience with Google Analytics. Strong ability to take ownership and complete tasks from start to finish. Open to using and working with AI technologies. Some front-end development experience. Based in Greece or Cyprus.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - High IQ, energy, and agency. - Extreme autonomy and ownership. - The ability to move fast, experiment constantly, and learn even faster. - Resilience under pressure and readiness for an always-on environment. - A balance of data-driven judgment and creative intuition. - The drive to raise the standard for the entire team, not just yourself. WHAT YOU WILL WORK ON - Create engaging, high-quality video content that resonates with millions of users. - Manage full production cycle: planning, scripting, generating, editing. - Use generative image/video AI tools to produce original, standout content. - Edit with professional tools (Premiere Pro, DaVinci Resolve). - Spot trends in marketing content and bring fresh, viral-worthy ideas. YOUR MUST HAVES - Strong experience with image and video GenAI tools. - Solid editing skills in Premiere Pro or DaVinci Resolve. - Proven ability to deliver creative content end-to-end. - Sharp sense of visual and marketing culture — able to pitch ideas that hook. - High energy, ownership, and adaptability in a fast-paced environment. - Understanding of social media formats, trends, and audience engagement. THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position. - Full ownership and creative freedom over content — with real impact on how the world’s best creative and ad agencies discover and adopt Higgsfield.

• Ускорять и масштабировать LLM в проде: оптимизация инференса очень больших моделей (до 1T+ параметров), SGLang, KV/prefix caching, speculative decoding, квантизация. • Разворачивать распределенный инференс: MoE, tensor/expert/pipeline parallelism на multi-node / multi-GPU кластерах (32x H200 + AWS).

- Владеть end-to-end сценариями протокола по трём линиям: данные, подбор финансового продукта, исполнение сделки. - Формировать продуктовую логику протокола: какие запросы делает агент, какие ответы получает, какие ограничения применяются, как фиксируется объяснение и аудит.

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback.

Location: Москва В Дирекцию реализации и популяризации AI-инициатив Департамента развития искусственного интеллекта и машинного обучения (Сбер AI) Сбера требуется DS/AI Lead для реализации AI/GenAI-проектов в сегменте B2G. Нашей дружной командой мы помогаем государству проводить disrupt госуправления через внедрение AI/GenAI и ускорять национальное развитие AI/GenAI, организуем одно из крупнейших в мире профильных мероприятий – AI Journey, объединяем бизнес, государство и международное научное сообщество, чтобы обеспечить GenAI-трансформацию страны. Обязанности * лидирование прототипирования в домене NLP * разработка и валидация ML-моделей, создание и внедрение AI/GenAI решений для B2G * проектирование архитектуры AI/GenAI и ML-моделей под бизнес-задачи * формализация бизнес-задач в ML-постановки, выбор метрик качества и критериев успеха * контроль сроков и планов выполнения пилотов и разработки прототипов * Проектирование, разработка, контроль качества фичей, в частности - мультиагентных систем на базе LLM для решения сложных задач * проектирование и разработка систем RAG * R&D в области NLP: эксперименты с новейшими архитектурами, reasoning-моделями, fine-tuning моделей под специфические задачи * оптимизация inference для работы с высокими нагрузками * сбор, анализ и подготовка данных (EDA), формирование признаков (feature engineering) * проведение экспериментов, сравнение подходов, интерпретация результатов, подготовка рекомендаций для заказчика * анализ данных, feature engineering, A/B тестирование * участие во внедрении моделей в прод: совместная работа с инженерами, подготовка артефактов (спецификации, требования к данным/сервису) * подготовка технической документации и презентаций результатов * взаимодействие с бизнес-заказчиками и техническими командами Требования * умение решать ad-hoc задачи вне стандартных подходов к разработке продукта * высшее техническое/математическое/экономическое образование * опыт production-разработки ML-систем от 5 лет * глубокое понимание современных LLM архитектур (Transformers, attention mechanisms) * практический опыт с RAG: vector databases, embedding models, retrieval strategies * опыт работы с распределенными вычислениями (PyTorch Distributed, DeepSpeed) * Python на уровне написания эффективного production кода * опыт управления командой разработки, использующей в т.ч. системы автоматического написания кода (Codex и др.) * понимание полного жизненного цикла ML-модели, знание основных подходов к оценке качества моделей, работе с дисбалансом, переобучением, интерпретируемостью * владение английским на уровне Upper Intermediate и выше * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. **Будет плюсом** * опыт работы с information retrieval системами * опыт построения мультиагентных систем (LangChain, AutoGen, CrewAI) * опыт fine-tuning больших языковых моделей * знание современных подходов к prompt engineering и chain-of-thought reasoning. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * ипотека для сотрудников выгоднее до 1/3 от текущей ставки * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We're looking for a Graphic Designer who: - Has exceptional taste in composition, typography, and visual hierarchy. - Can work within an established visual system and push it forward with fresh ideas. - Thinks in series: every piece stands out on its own and still works as part of a grid. - Moves fast, iterates quickly, and thrives in a high-output creative environment. - Can explain and defend design decisions clearly. WHAT YOU WILL WORK ON - Design covers and key visuals for product and feature releases. - Adapt designs across all formats: Instagram (1:1, 4:5, 9:16), YouTube thumbnails (16:9), X/Twitter, website and in-app banners, ads, and presentations. - Evolve and maintain the Higgsfield visual language and Instagram grid. - Create key art and posters for Higgsfield Original Series and brand campaigns. - Turn product features into clear, eye-catching visuals people understand at a glance. - Generate, curate, and refine AI imagery as a core part of your daily workflow. - Work closely with Creative Directors, motion designers, founders, and growth teams. YOUR MUST-HAVES - Strong experience with image GenAI tools (Nano Banana, Midjourney, Flux, or similar), with the ability to generate and curate high-quality visuals on your own. - Advanced skills in Figma and Photoshop (Illustrator is a plus). - Strong grasp of typography, layout, grids, and custom title design. - A portfolio of social, marketing, or key art work. - Sharp sense of visual and internet culture, able to pitch ideas that hook. - Understanding of social media formats, trends, and audience engagement. NICE TO HAVE - Basic motion skills (After Effects or similar) to bring static work to life. - Experience in film or entertainment poster design. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office (we will relocate you from anywhere). - Full-time position.