Senior Engineer

We're looking for someone with 3+ years of software engineering experience (mid-level) or 6+ years (senior), with hands-on experience building LLM-powered or agent-based systems in production.

Technical Skills
● Solid software engineering fundamentals: system design, API design, data modelling, and clean, maintainable code.
● Experience building and running production systems in the cloud (AWS, GCP, or Azure), including containers, Kubernetes or similar, and infrastructure as code.
● Hands-on experience with distributed systems: queues, async workflows, concurrency, reliability, and failure handling.
● Practical experience building with LLMs: tool use, agents, prompt and context engineering, RAG, and evaluation.
● Familiarity with agent protocols and ecosystems (e.g., MCP) and with using AI coding tools day to day.

Leadership & Ownership
● Comfort working independently and handling ambiguity: you can take a loosely defined problem, scope it, and drive it to production.
● Clear written and verbal communication, including explaining trade-offs to both technical and non technical audiences.
● At the senior level, we also expect you to lead projects and set technical direction, mentor other engineers, define evaluation and quality standards, and influence architecture across teams.

Mindset & Collaboration
● Growth mindset — curious, always learning, and open to feedback.
● Works closely with the engineers who use these tools every day; you help the whole organization build software better and faster.

Nice to Have
● Experience with trace analysis or log mining to find and fix agent failure modes.
● Experience building internal platforms or SDKs that other teams adopted.
● Background in observability, CI/CD, or developer productivity tooling.
● Experience with model routing, cost optimization, or prompt caching.
● Open-source or public contributions in agent tooling or LLM infrastructure.