Senior AI Engineer
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Key Responsibilities
Job Description
Key Responsibilities
- Design, develop, and deploy AI and GenAI solutions for business use cases.
- Build and optimize LLM-based applications, AI agents, and multi-agent systems.
- Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data sources and knowledge repositories.
- Integrate AI solutions with APIs, databases, business applications, and enterprise platforms.
- Evaluate, fine-tune, and monitor AI models to ensure performance, accuracy, and reliability.
- Implement Responsible AI, governance, security, and observability best practices.
- Collaborate with Data Engineers, Data Scientists, and Product teams to operationalize AI solutions.
- Strong proficiency in Python and API development.
- Experience building applications with Large Language Models (LLMs) and Generative AI technologies.
- Hands-on experience with AI Agents, Multi-Agent Systems, and RAG architectures.
- Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
- Familiarity with prompt engineering, model evaluation, and AI application monitoring.
- Understanding of software engineering best practices, including Git, CI/CD, testing, and cloud-native architectures.
- Knowledge of AI governance, security, privacy, and Responsible AI principles.
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