Senior AI Engineer (Remote, Contract)

We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.

This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.

Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.

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As part of our team, your responsibilities in this role will include:

• Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
• Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
• Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
• Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
• Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
• Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
• Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.

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Our ideal candidate possesses the following skills: 

• 5+ years of software engineering experience, with production systems you've designed, shipped and supported.
• Proven experience building LLM-based agents or agentic workflows that reached production with real users.
• Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
• Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
• Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
• Strong Python and SQL. Comfortable in TypeScript/Node.js.
• Solid production engineering on AWS: Docker, CI/CD, testing, observability.
• Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
• Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
• Clear communication with technical and non-technical stakeholders, in English.
  
  

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Nice to have: 

• LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
• B2B contact and company data: enrichment, deduplication, matching.
• Cloud operations or FinOps: monitoring, incident handling, cost management.
• Event-driven or workflow-engine experience (Kafka, Temporal or similar).
• Experience replacing no-code or workflow-tool automations with production code.
  
  

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What we offer:

• Fully remote work format;
• A collaborative and creative environment that values initiative and experimentation;
• Paid time off and sick leave;
• Reduced working hours on Fridays during the summer;
• Days-off on US national holidays + your birthday;
• Schedule: 14 PM - 23 PM EEST (Kyiv time).