GenAI Engineer-F2F in Bangalore on Sat 10-Oct_Permanent

Jobworld India; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Jobworld India in Hyderabad is seeking an experienced Generative AI professional to design and deploy AI-powered solutions using LLMs and RAG. You will architect retrieval-augmented generation pipelines, manage embeddings and vector databases, and integrate with enterprise data sources.

The role requires hands-on Python development, familiarity with LangChain/LlamaIndex, and experience deploying Gen AI systems across cloud environments.

Qualifications

• 510 years of overall experience in AI/ML/Data Engineering.

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.

Skills

Generative AI

LLMs

RAG

Python

LangChain

LlamaIndex

Vector databases

Embeddings

Prompt engineering

APIs

Tools

LangChain

LlamaIndex

FAISS

Pinecone

Weaviate

Chroma

Azure AI Search

Job description

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