[Hiring] AI Engineer @United Tech

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.