Senior/Lead AI Engineer

Requirements:

- Build and deploy LLMs, GenAI, agentic AI solutions At least 2+ years’ experience.
- Lead multi-agent system design – A4 requirement
- 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 – Positive to have
- Deployments through CI/CD pipelines

Soft skill requirement

- Good 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

Process: GI – TI0 – TI1 – TI2/PI – RM – Client - Offer – Pool/Project

0-40 Days Only

(phone hidden)

[email protected]

📌 Senior/Lead AI Engineer (Gurugram)
🏢 Orcapod Consulting Services
📍 Gurugram