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.
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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.
