What you will do

- Build GenAI solutions for insurance. Design and ship production-grade LLM and generative AI features that solve real underwriting, claims and policy-servicing problems.
- Create agentic workflows. Develop AI agents with tool calling, orchestration and multi-step reasoning that can run reliably inside business processes.
- Automate document work. Build capabilitiesfor document classification, data extraction and summarisation.
- Choose the right model. Assess various models from Azure AI define routing strategies that balance quality, latency, reliability and cost.
- Measure quality. Set up evaluation suites,structured outputs and guardrails, and run automated regression tests so quality stays visible as the product changes.
- Tune and operate. Optimise for latency, token usage and scale; monitor production systems and lead root-cause analysis when quality or performance slips.
- Integrate and collaborate. Connect AIservicesto backend APIs, databases and enterprise workflows alongside Core Engineering, Product and Solutions teams.
- Lead the team. Mentor AI engineers, shape engineering standards,



and keep evaluating new models and frameworks for fit. What you will bring

- Python and applied AI:solid hands-on delivery of AI/ML applications.
- GenAI foundations: LLMs, agents and function calling.
- Quality engineering: prompt design,structured outputs, guardrails, evaluation and AI observability.
- Azure AIstack: Azure AI, Microsoft Foundry and Azure OpenAI.
- Agentframeworks: Microsoft Agent Framework, LangGraph, Semantic Kernel orsimilar.
- Foundation models: working experience with OpenAI, Anthropic Claude or comparable providers.

- Backend skills: REST APIs, asynchronous processing, PostgreSQL (vectorsearch is a plus).
- Delivery tooling: Git, Docker, CI/CD with Azure DevOps or GitHub Actions, and AI-assisted development tools such as Claude Code and GitHub Copilot.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead AI Engineer (Bengaluru)
🏢 Codevian Technologies
📍 Bengaluru