Lead GenAI & Agentic AI platform strategy for multiple clients at Capgemini Engineering. Driving adoption, managing operations, and advising on technological architecture.
About the role
- AI Developer designing, building, and deploying intelligent agents using LangChain and OpenAI SDK. Collaborating on next-generation autonomous systems with Expleo.
Responsibilities
- Develop, test, and deploy Agentic AI systems using LangChain, OpenAI Agents SDK, or Google ADK
- Implement reasoning and planning workflows (ReAct, plan-act-observe loops)
- Integrate external APIs, vector databases, and toolkits into agent frameworks
- Fine-tune and optimize open-source or proprietary LLMs for domain tasks
- Build and deploy MCP servers or custom agent tools
- Support CI/CD pipelines for AI model deployment
- Collaborate with data, DevOps, and product teams for smooth production rollout
Requirements
- B-Tech , MCA
- Programming: Python (primary), Node.js, or Go
- Agentic Frameworks: LangChain, OpenAI Agents SDK, or Google ADK
- LLM Ops: Prompt engineering, RAG, finetuning, quantization, optimization
- DevOps/MLOps: CI/CD, Docker, Kubernetes, MLflow, Vertex AI Pipelines
- Model Serving: FastAPI, TorchServe, Vertex AI Endpoints
- Databases: Vector DBs (Pinecone, FAISS, Weaviate)
- Version Control: Git, GitHub Actions, Jenkins
- Knowledge of distributed AI deployment (Ray, Hugging Face Accelerate)
- Exposure to monitoring and observability tools (Prometheus, Grafana)
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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