GenAI Engineer-F2F in Bangalore on Sat 10-Oct_Permanent

Gen AI LLM & RAG

Experience: 5-10 Years

Location: Hyderabad

Job Description

We are looking for an experienced Generative AI professional with strong hands-on experience in LLMs and RAG to build and deploy AI-powered solutions.

Key Responsibilities

• Design and develop Generative AI solutions using LLMs.
• Build and implement RAG (Retrieval-Augmented Generation) pipelines.
• Work with LLMs, prompt engineering, embeddings, and vector databases.
• Develop scalable AI applications using Python.
• Integrate LLMs with enterprise applications and data sources.
• Implement document processing, chunking, embedding, retrieval, and response generation.
• Evaluate and improve LLM/RAG performance, accuracy, and response quality.
• Work on prompt optimization and LLM evaluation techniques.
• Collaborate with data scientists, engineers, architects, and business teams.
• Troubleshoot and optimize Gen AI applications for production use cases.

Required Skills

• 510 years of overall experience in AI/ML/Data Engineering.
• Strong hands-on experience with Generative AI and LLMs.
• Strong experience in RAG architecture and implementation.
• Good knowledge of Python.
• Experience with LLM frameworks/tools such as LangChain, LlamaIndex, or similar.
• Experience with Vector Databases such as FAISS, Pinecone, Weaviate, Chroma, or Azure AI Search.
• Strong understanding of embeddings, semantic search, prompt engineering, and transformers.
• Experience working with APIs for LLMs such as OpenAI, Azure OpenAI, or similar models.
• Good understanding of ML/AI concepts and model evaluation.

Good to Have

• Experience deploying Gen AI solutions on AWS/Azure/GCP.
• Knowledge of MLOps/LLMOps and CI/CD.
• Experience with fine-tuning or adapting LLMs.
• Knowledge of Docker, Kubernetes, and microservices.
• Experience building enterprise-grade Gen AI applications.

Location: Hyderabad

Experience: 510 Years