Agentic AI Developer at Capgemini

Capgemini is hiring a Full Stack Agentic AI Developer responsible for designing, developing, and deploying end-to-end agentic AI systems, combining AI engineering, software development, and system integration expertise. The role involves working with data scientists, backend engineers, and product teams to create self-directed AI agents capable of handling complex tasks such as workflow automation, knowledge retrieval, and multi-step reasoning.

Key Responsibilities

GenAI & Multi-Agent Engineering: Architect and implement multi-agent orchestration frameworks using GenAI models like Gemini, Claude, LLaMA, and Mistral. Develop agent roles, memory systems, and inter-agent communication protocols. Integrate orchestration platforms including LangChain, CrewAI, and AutoGen with Google Vertex AI and Agent Builder.

Prompt Engineering: Design high-quality prompts for agentic tasks, implement RAG pipelines using vector databases (FAISS, Pinecone, Weaviate), and optimize for accuracy and latency.

Backend Development: Build RESTful APIs using Python (FastAPI, Flask) or Node.js on GCP infrastructure.

Cloud & DevOps: Deploy on Google Cloud Platform with CI/CD pipelines, Terraform, Docker, and Kubernetes.

Required Skills

SQL & Python programming

GenAI frameworks (LangChain, LangGraph, Hugging Face, OpenAI API)

LLM orchestration and agentic workflows

Backend frameworks (FastAPI, Flask, Node.js)

Vertex AI, Agent Builder, Google Cloud Functions

Frontend knowledge (React, Next.js)

Vector databases and RAG techniques

Cloud platforms (AWS SageMaker, Azure AI, GCP)

Posted: March 25, 2026. Location: Stockholm, Sweden.