Generative AI Engineer - LLM / RAG

Job Title : Generative AI Engineer LLM | AWS & Azure | RAG

Experience : 5 to 8 Years

Location : Pune, Bangalore, Hyderabad, Chennai, Gurugram, Jaipur

Job Type : Full-time / Permanent

Work Mode : Hybrid / Remote Flexibility (as per business requirement)

Job Description :

We are seeking a passionate and experienced Generative AI Engineer to join our growing AI / ML team. The ideal candidate will have hands-on experience in designing, building, and deploying LLM-based solutions with a strong focus on Retrieval-Augmented Generation (RAG). You should be comfortable working across AWS and Azure platforms, leveraging cloud-native AI / ML services to deliver scalable and secure solutions.

Key Responsibilities :

• Design and develop generative AI models and pipelines using Large Language Models (LLMs) like GPT, LLaMA, Claude, or similar.
• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and search engines (e.g., FAISS, Weaviate, Pinecone, Azure Cognitive Search).
• Fine-tune and customize open-source or commercial LLMs for specific domain needs.
• Deploy AI / ML models using AWS SageMaker, AWS Lambda, ECS / EKS, and Azure ML Studio / Azure AI services.
• Integrate AI models into enterprise systems using APIs, microservices, and serverless architectures.
• Ensure solutions are scalable, secure, and optimized for performance across cloud environments.
• Collaborate with product managers, data scientists, and MLOps teams for full lifecycle model development and deployment.

Must-Have Skills :

Cloud Platforms :

Preferred Skills :

(ref : hirist.tech)