Gen AI LLM & RAG

Experience: 5-10 Years

Location: Hyderabad

We are looking for an experienced Generative AI qualified 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

📌 GenAI Engineer-F in Bangalore on Sat 10-Oct_Permanent (Hyderabad)
🏢 JOBWORLD INDIA PRIVATE
📍 Hyderabad