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Known cloud brand, mid-level Bengaluru role, and generalist senior title increase candidate competition.
Specialized LLM-agent and MLOps skills are transferable but require AI-focused background.
Mandates 4+ years, hands-on LLM/agent experience and production cloud skills, so filters are strict.
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Own end-to-end design and delivery of AI agent, copilot, and platform features with limited guidance.
Build and maintain reliable agentic systems including orchestration, tool integration, memory/state management, and evaluation for ongoing trustworthiness.
Mentor early-career engineers through code reviews and design feedback, ensuring high-quality outputs across the team.
Minimum 4+ years of software engineering experience with end-to-end ownership of features/services in production.
Hands-on experience building LLM-powered applications with knowledge of retrieval-augmented generation, prompt design, and agent tooling.
Proficiency in at least one production programming language (Python, Go, TypeScript, or Java) and comfort with cloud-native infrastructure (containers, Kubernetes/serverless, CI/CD).
Work Experience Required: 4+ years of relevant software engineering; Location Requirement: Bengaluru, India (hybrid).
Experienced in AI/ML engineering focused on agentic systems and platform-level AI tooling (orchestration frameworks, Model Context Protocol, vector stores).
Ability to independently deliver scoped but ambiguous projects from design to production-grade, including observability and non-deterministic output evaluation.
Demonstrated track record mentoring others and effectively communicating technical trade-offs to both engineering and non-engineering stakeholders across time zones.