AI Engineer

In this role, you will Design and build RAG and automation workflows inside our VPC environment. Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git). Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries. Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization. Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions. Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks. Own initiatives end-to-end: scope → design → ship → measure → iterate. It’s all about you 5+ years of production experience with Python (services, async, API integrations, clean and testable code). Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock. Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations. Prompt engineering + structured outputs + tool/function calling. Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses. Agentic patterns: ReAct, function-calling loops, fallbacks. Vector databases: pgvector, Pinecone. Workflow orchestration: n8n, Airflow, or custom orchestration systems. Observability: token-spend tracing, latency monitoring, model routing. Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently. CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures. Basic SQL skills for analytical queries and metrics dashboards. Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production B2 English level Would be a plus Real REST integrations with 2–3+ APIs Experience with workflow orchestration tools. Prompt evaluation tooling such as LangSmith is nice to have Experience with Docker RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases What we offer 20 paid vacation days, 15 sick days, and 6 additional days off for family events Up to 10 additional days off for public holidays 100% medical insurance coverage Sports and equipment reimbursement Team building events, corporate gifts, and stylish merch Financial and legal support Maternity recovery support allowance Position retention and support for those who join the Armed Forces of Ukraine Participation in social initiatives supporting Ukraine Comfortable working environment: Work from our Kyiv hub or remotely with a flexible schedule Modern equipment or depreciation of your own tools Investment in your future: Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche 70% of our heads and leads have grown into their roles here – so can you! Performance-oriented reviews and Individual Development Plans (IDPs) Reimbursement for professional courses and English classes Corporate library, book club, and knowledge-sharing events Hiring process Intro call Technical Interview Final Interview Reference check Offer