Agentic AI Engineer
Description
We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.
Role and responsibilities
Implement agent logic, tools, and orchestration against the given architecture.
Build and tune RAG pipelines: ingestion, embeddings, retrieval, re-ranking, evaluation.
Design and optimize Postgres schemas, queries, and vector indexes for production load.
Build the test-generation and test-execution engine for the AI Code Pipeline.
Integrate with Git, CI/CD, and internal services.
Build evaluation harnesses, observability, and guardrails so agents are measurable and safe.
Own the reliability, latency, and cost of the systems you ship.
Write clean, typed, well-tested Python and participate actively in code review.
Requirements
4+ years of professional software engineering in Python, with deep, hands-on command of the language: async, typing, packaging, performance, and clean, maintainable code.
1+ years building LLM/agentic systems — tool use, function calling, orchestration, prompting, and evaluation.
Strong problem-solving and debugging on ambiguous, real-world production problems.
Solid Postgres experience: schema design, query optimization, and extensions (pgvector).
Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset.
Comfort with Git-based workflows and code review.
Automating software testing: unit, integration, functional, security, performance.
Integrating with developer tooling and CI/CD systems.
6+ months of demonstrated experience building with Claude Code in a development workflow.
Benefits
Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.