Senior Generative AI Full‑Stack Engineer (Python/Cloud)
Capgemini · Le Caire
وصف الوظيفة
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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Capgemini
Le Caire