Senior/Lead AI Engineer

Requirements:

- Build and deploy LLMs, GenAI, agentic AI solutions At least 2+ years experience.

- Lead multi-agent system design

- Experience with AI SDLC tools (Github copilot, Claude code, codex etc)

- Build and Architect RAG

- Optimize AI/GenAI/agentic models

- Integrate with cloud, APIs, backend

- Ensure Agent Ops, governance, ethics Good to have

- Deployments through CI/CD pipelines

Soft skill requirement

- Valuable communication skill is very important

- Collaborate with teams for delivery

Skills required:

- Python

- LangChain, LangGraph -Frameworks

- Enterprise Frameworks AgentBricks, Agentcore(AWS) , Microsoft Foundry, Agent Studio (Gemini), Snowflake Coretx Agents

- Docker, Kubernetes, CI/CD, AI governance

- Enterprise AI cloud platforms: AWS Bedrock , Databricks Mosiac AI, Microsoft Foundry , Gemini Enterprise Agent Platform, Snowflake Cortex

Experience:

- Minimum 5+ years AI/GenAI.

- Background: Data Software Engineers, Data science or worked on Data projects atleast for 2 years - Nice to have

F2F interview on 24th Oct, Saturday all rounds would be completed same day

Notice period- immediate to 30 days

📌 AI Engineer (Bengaluru)
🏢 ConverseHR Business Solutions
📍 Bengaluru