AI Engineer
Indexed description
About your role: We’re looking for an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI. You’ll own initiatives end-to-end — from discovery and architecture decisions to production delivery — and play a key role in shaping how AI is used across the company.
You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.
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.
- 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
- 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
- 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
- Work from our Kyiv hub or remotely with a flexible schedule
- Modern equipment or depreciation of your own tools
- 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
- Intro call
- Technical Interview
- Final Interview
- Reference check
- Offer
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