Principal Software Engineer - LLM/Agent Systems

Role Overview : We're looking for someone with 6+ years of Software Engineering experience and hands-on experience building LLM-powered or agent-based systems in production.Technical Skills : - Principal individual contributor.- Platform & API; core runtime; logic modernisation.- India-based role in a global distributed squad; planned overlap with Europe and North America and ownership of outcomes end to end.- 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. (ref:hirist.tech)