We're looking for someone with software engineering experience of 6+ years, 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.
Explicit 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.

📌 Senior Engineer Bengaluru (India)
🏢 Kornferry
📍 India