Hire Senior AI Platform Engineer | data-science-ua.com

Навыки

• AI-агенты
• API (интеграции)
• Многопоточность
• LLM
• Machine Learning
• Мониторинг и observability
• Ответственность за результат

О компании и продукте

• Our story began in 2016 with the first Data Science UA Conference in Kyiv, and since then we’ve built one of the largest AI communities in Europe. We’re looking for a Senior AI Platform Engineer to build the central AI platform behind a major enterprise AI transformation programme for one of our consulting clients. A proof of concept already exists – it proves the basic plumbing works at small scale, but production-grade retrieval, evaluation, observability, and identity propagation are still ahead of us. That’s where you come in: you’ll take this from prototype to something real users can actually rely on. You’ll work closely with the AI Architect, who owns the overall architecture and the client relationship
• Within that architecture, you’ll have real ownership over how components are designed, sequenced, and built – and if something won’t hold up in production, we want to hear about it, backed by evidence

Задачи

• Build the AI gateway integration so model choice stays swappable, with no provider hardwired into the application code
• Build hybrid retrieval that combines lexical and vector search over the enterprise corpus, including typed metadata extraction at ingestion and a query-understanding step that turns natural language into filter predicates
• Build an evaluation harness that’s genuinely maintainable — and keep it maintained — feeding eval results directly into release decisions
• Stand up the observability layer: traces, cost, and latency per request
• Build the governance admin panel: policy authoring, role model, audit trail, approval workflow
• Design and implement end-user identity propagation through agent runtimes, including reproducing source-system access rules at retrieval time
• Set the engineering standards the wider delivery team builds against, and review their work against them
• Professional experience

Требования

• Data Science UA is a service company with deep expertise in AI and Data Science
• This is a hands-on building role, not a meeting-heavy one
• Minimum 5 years of production Python experience, including schema design, database migrations, background job processing, testing under concurrency, and API design that remains stable beyond its first consumer
• Demonstrated experience taking a retrieval or agent system from prototype to production, with real users and real permission models — shipped systems required, not a portfolio of prototypes
• Technical expertise
• Hands-on experience with agent orchestration, including tool calling, control flow, retry logic, and cost/latency budgeting, with the ability to describe this experience without reference to a specific framework
• Solid understanding of evaluation methodology for LLM systems, including metric selection, dataset construction, and how results are used to gate releases
• Working knowledge of identity and access propagation across service boundaries, and sound judgement regarding the security risks of using a service account to act on a user’s behalf
• Strong command of PostgreSQL, with the ability to treat SQL as a primary retrieval mechanism alongside embeddings, rather than a fallback
• Experience applying prompt engineering as an engineering discipline: version-controlled, tested, and measured
• Other requirements
• English proficiency sufficient for effective collaboration within a distributed senior team
• Familiarity with LiteLLM as the AI gateway and Langfuse for observability
• Our current stack
• Claude Agent SDK and MCP at the agent layer
• Postgres with pgvector
• Python throughout
• We care that you’ve solved these problems, not that you used these specific tools
• MCP experience is the strongest signal here — if you’ve written MCP servers rather than only consumed them, tell us about it

Будет плюсом

• Knowledge graphs and large-scale document ingestion
• Prior experience as the first engineer on a platform that others later built on
• Experience replacing a prototype that a team was attached to
• Know someone, who'd be a great fit for this role? Submit your candidate via the referral program and receive a bonus for a successful recommendation!
• visit referral portal
• Machine learning
• employment
• Full-time

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