at Capgemini
ConsultanciesPosted 10 days ago
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**Senior Machine Learning Engineer** designs and develops Generative AI apps using LLMs, focusing on Retrieval-Augmented Generation (RAG) and optimizing multi-agent workflows. Integrates AI models with enterprise systems and databases, fine-tuning foundation models for business use. The role demands **expertise in OpenAI GPT, Azure OpenAI, prompt engineering**, RAG pipelines, and model evaluation. Knowledge of AI guardrails is essential. candidates with **proven experience in developing Generative AI** are preferred.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Your Role
- Design and develop enterprise-grade Generative AI applications using LLMs.Build and optimize Retrieval-Augmented Generation (RAG) solutions.
- Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
- Integrate AI models with enterprise systems, APIs, databases, and knowledge repositories.
- Fine-tune, evaluate, and optimize foundation models for business use cases.
Your Profile
- Strong experience with OpenAI GPT, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.
- Expertise in Prompt Engineering and Context Engineering.Hands-on experience with RAG pipelines and vector databases.
- Experience with fine-tuning, model evaluation, and inference optimization.
- Knowledge of AI guardrails, hallucination mitigation, and responsible AI practices.
What you 'love about working here
- We offer a range of career paths and internal opportunities within Capgemini group.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges
