Python GenAI Engineer

Capgemini is hiring a Python GenAI Engineer to develop and enhance Generative AI applications using Large Language Models and modern AI frameworks.

The role focuses on building RAG pipelines, vector search, AI-powered workflows, prompt engineering, model fine-tuning, REST APIs, cloud deployment, and responsible AI practices.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using LoRA and QLoRA techniques.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.
• Work with modern AI frameworks and technologies to build enterprise AI solutions.

Required Skills

• Python
• Generative AI
• GenAI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Embeddings
• Vector Search
• Vector Databases
• Semantic Search
• Hybrid Search
• Retrieval Architectures
• REST APIs
• Object-Oriented Programming (OOP)
• Data Structures and Algorithms
• Complexity Analysis
• Problem Solving
• Debugging
• Software Development Best Practices

AI Frameworks

• LangChain
• LangGraph
• LlamaIndex
• Hugging Face
• PyTorch
• TensorFlow
• Keras

Model Fine-Tuning

• LoRA
• QLoRA
• Model Fine-Tuning
• Prompt Design

Cloud & DevOps

• Docker
• Git
• CI/CD
• Azure
• AWS
• GCP
• Cloud Deployment
• Containerized Environments

Additional Skills

• AI Governance
• Data Privacy
• Responsible AI
• Data Security
• Testing
• Documentation
• Code Reviews
• AI-powered Workflows