Senior Generative AI Engineer - RAG & LLM Specialist

Capgemini; Hyderabad City Taluka; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Capgemini in Hyderabad is seeking experts to design and deliver enterprise-grade Generative AI applications leveraging LLMs. You will build robust RAG solutions and create AI agents with modern frameworks.

The role requires integrating AI models with APIs, databases and knowledge repositories, plus ongoing fine-tuning and evaluation for business outcomes. You will apply prompt and context engineering practices, ensure guardrails and responsible AI considerations, and collaborate across teams on

Qualifications

• Extensive experience with leading LLMs and vector-based retrieval systems.
• Strong skills in prompt and context engineering for enterprise use cases.
• Hands-on work with RAG pipelines, model fine-tuning and evaluation.
• Knowledge of guardrails, hallucination mitigation and responsible AI.

Responsibilities

• Design and develop enterprise-grade Generative AI apps using LLMs.
• Build and optimize RAG solutions for scalable information access.
• Develop AI agents and multi-agent workflows with LangChain or similar.
• Integrate AI models with enterprise systems, APIs and databases.
• Fine-tune, evaluate and optimize foundation models for business use cases.

Skills

OpenAI GPT

Azure OpenAI

Claude

Gemini

Llama

Mistral

Prompt Engineering

Context Engineering

RAG pipelines

Vector databases

Fine-tuning

Model evaluation

Inference optimization

AI guardrails

Responsible AI practices

Job description

Capgemini in Hyderabad is seeking experts to design and deliver enterprise-grade Generative AI applications leveraging LLMs. You will build robust RAG solutions and create AI agents with modern frameworks.

The role requires integrating AI models with APIs, databases and knowledge repositories, plus ongoing fine-tuning and evaluation for business outcomes. You will apply prompt and context engineering practices, ensure guardrails and responsible AI considerations, and collaborate across teams on