AI Engineer

• In this role, you will
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• Design and build RAG and automation workflows inside our VPC environment.
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• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
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• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
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• Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.
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• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
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• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
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• Own initiatives end-to-end: scope → design → ship → measure → iterate.
• It’s all about you
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• 5+ years of production experience with Python (services, async, API integrations, clean and testable code).
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• Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.
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• Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.
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• Prompt engineering + structured outputs + tool/function calling.
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• Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.
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• Agentic patterns: ReAct, function-calling loops, fallbacks.
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• Vector databases: pgvector, Pinecone.
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• Workflow orchestration: n8n, Airflow, or custom orchestration systems.
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• Observability: token-spend tracing, latency monitoring, model routing.
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• Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently.
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• CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.
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• Basic SQL skills for analytical queries and metrics dashboards.
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• Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production
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• B2 English level
• Would be a plus
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• Real REST integrations with 2–3+ APIs
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• Experience with workflow orchestration tools.
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• Prompt evaluation tooling such as LangSmith is nice to have
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Experience with Docker

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• 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

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• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

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• 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
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• Intro call
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Technical Interview

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Final Interview

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• Reference check
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• Offer