Senior Engineer

Kornferry; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Kornferry in Bengaluru is seeking a senior software engineer with 6+ years of hands-on experience building LLM-powered or agent-based systems in production. You will design scalable cloud architectures, drive production readiness with Kubernetes and IaC, and work across teams to deliver robust solutions.

You will lead projects, mentor engineers, and set technical direction while communicating trade-offs clearly.

Qualifications

• 6+ years of software engineering experience.
• Hands-on production experience with LLM-powered or agent-based systems.
• Experience building and running production cloud systems (AWS/GCP/Azure).
• Familiar with observability, CI/CD, and developer productivity tooling.

Responsibilities

• Lead projects and set technical direction.
• Mentor other engineers and define quality standards.
• Communicate trade-offs to technical and non-technical audiences.
• Influence architecture across teams.

Skills

System design

API design

Data modelling

Clean code

Cloud deployments

Kubernetes

Infrastructure as code

Distributed systems

LLMs tools

Agents & prompts

RAG

Agent protocols

AI coding tools

Tools

Kubernetes

Docker

Terraform

Job description

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.
• 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.