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