Senior Generative AI Full‑Stack Engineer (Python/Cloud)

Capgemini · Le Caire

Senior 🇬🇧 English

Python TensorFlow PyTorch Scikit-learn LangChain AWS Azure GCP Langgraph Autogen Crew AI FAISS Pinecone Weaviate Azure AI Search Jenkins GitHub Actions Terraform PostgreSQL MongoDB CosmosDB DynamoDB FastAPI Flask Django DeepEval FMeval RAGAS Bedrock SQL Hive Tableau

Job description

About the role

We are looking for a senior full‑stack engineer with deep expertise in generative and agentic AI. The role involves designing, building, and deploying end‑to‑end AI solutions on major cloud platforms for a variety of clients.

Key responsibilities

Collaborate with data engineers, data scientists, and business stakeholders to translate data problems into AI solutions.
Design, implement, and optimise generative AI models and agentic frameworks (e.g., Langgraph, Autogen, Crew AI).
Deploy AI services on AWS, Azure, or GCP, including vector‑search databases and RAG pipelines.
Build RESTful APIs and web UI components using FastAPI, Flask or Django.
Maintain CI/CD pipelines, ensure code quality, and follow DevOps best practices.

Required profile

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or a related field.
4‑11 years of professional experience in AI/ML and full‑stack development.
Proven track record delivering production‑grade generative AI solutions.

Required skills

Python programming and libraries (TensorFlow, PyTorch, Scikit‑learn, LangChain).
Cloud platforms: AWS, Azure, GCP.
Agentic AI frameworks: Langgraph, Autogen, Crew AI, Semantic Kernel.
Vector databases: FAISS, Pinecone, Weaviate, Azure AI Search.
CI/CD tools: Jenkins, GitHub Actions, Terraform.
Databases: PostgreSQL, MongoDB, CosmosDB, DynamoDB.
Web frameworks: FastAPI, Flask, Django.
Model evaluation tools: DeepEval, FMeval, RAGAS, Bedrock.
Data processing of unstructured formats (PDF, HTML, images, audio).

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