Lead AI Engineer
Lead AI Engineer building production GenAI/LLM and agentic AI applications — document AI, AI agents, and workflow orchestration — on Azure AI/Azure OpenAI for an enterprise insurance technology platform. Hands-on Python lead who mentors engineers; work from office in Bengaluru with an 11 AM–8 PM general shift.
- Compensation
- Not disclosed
- Location
- Bangalore Rural; Bengaluru
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Full time
- Experience
- 6+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 6-10 years in AI/ML Engineering, Applied AI or Software Engineering with substantial GenAI/LLM experience
- Strong hands-on Python and Applied AI
- Production-grade Generative AI and LLM application experience
- Agentic AI: AI agents, function calling, tool calling, workflow orchestration
- Azure AI, Microsoft Foundry and Azure OpenAI (mandatory)
- Agent frameworks: LangGraph, Semantic Kernel, Microsoft Agent Framework or similar
- Foundation models: OpenAI, Anthropic Claude or equivalent
- Document AI: document classification, data extraction and summarisation
- Prompt engineering, evaluation, guardrails and AI observability
- REST APIs, asynchronous processing and PostgreSQL
- Git, Docker, CI/CD, Azure DevOps or GitHub Actions
- AI development tools: Claude Code, GitHub Copilot or similar
- Proven experience taking AI solutions from prototype to production deployment
- Strong understanding of system design, scalability and maintainable architecture
- Experience mentoring AI engineers and driving technical decisions
- Currently serving notice period with up to 20-30 days remaining
Nice to have
- Enterprise workflow experience and insurance domain knowledge
Full description
Hiring: Lead AI Engineer | GenAI | Agentic AI | LLM | Azure AIExperience: 6-10 Years
Location: Bangalore (Work From Office)
Working Hours: 11:00 AM 8:00 PM (General Shift)
Notice Period: Only candidates currently serving notice period (up to 2030 days)
About the Role:
We are looking for an experienced Lead AI Engineer to join our core AI engineering team and build next-generation AI solutions for an enterprise insurance technology platform.
The ideal candidate should have strong hands-on expertise in Generative AI, LLMs, Agentic AI, Python, Azure AI and intelligent document processing, along with experience delivering scalable, production-ready AI applications.
Key Responsibilities
- Design and develop production-grade GenAI and LLM-based applications.
- Build intelligent AI agents using tool/function calling, orchestration and multi-step workflows.
- Develop Document AI solutions for document classification, information extraction and summarisation.
- Work with foundation models such as OpenAI, Anthropic Claude and other comparable models.
- Implement prompt engineering, structured outputs, evaluation frameworks and AI guardrails.
- Monitor AI performance and optimise latency, token consumption, quality and cost.
- Integrate AI solutions with REST APIs, databases and enterprise applications.
- Drive end-to-end AI solution development, deployment and production monitoring.
- Mentor AI engineers and establish engineering best practices.
Mandatory Technical Skills
- Programming: Strong hands-on experience in Python and Applied AI.
- GenAI & LLM: Production-grade experience with Generative AI, LLMs and AI applications.
- Agentic AI: AI Agents, Function Calling, Tool Calling and Workflow Orchestration.
- Azure AI: Azure AI, Microsoft Foundry and Azure OpenAI.
- Agent Frameworks: LangGraph, Semantic Kernel, Microsoft Agent Framework or similar.
- Foundation Models: OpenAI, Anthropic Claude or equivalent.
- Document AI: Document Classification, Data Extraction and Summarisation.
- AI Quality: Prompt Engineering, Evaluation, Guardrails and AI Observability.
- Backend: REST APIs, Asynchronous Processing and PostgreSQL.
- DevOps: Git, Docker, CI/CD, Azure DevOps or GitHub Actions.