Generative AI Engineer

Experience: 1–10 Years

Job Type: Full-Time

Locations: Bengaluru, Hyderabad, Pune, Chennai, Mumbai, Gurgaon, Noida

Salary: ₹8–45 LPA

About The Role We are looking for a talented Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent AI agents, and modern machine learning technologies.

The ideal candidate should have strong hands-on experience with Python, LLMs, LangChain, LangGraph, Transformers, RAG, and Vector Databases , along with a passion for building scalable and production-ready GenAI solutions.

Key Responsibilities

• Design and develop production-ready Generative AI applications and solutions.
• Build and optimize LLM-powered applications using modern AI frameworks.
• Develop RAG pipelines for enterprise knowledge retrieval and question answering.
• Build AI agents and multi-agent workflows using LangGraph and related frameworks.
• Integrate commercial and open-source LLMs into applications.
• Work with Transformers, Hugging Face, embeddings, prompt engineering, and fine-tuning.
• Design and manage vector search solutions using Pinecone, FAISS, Weaviate, Chroma, Milvus, or similar technologies.
• Develop APIs and backend services using Python frameworks such as FastAPI or Flask.
• Optimize LLM performance, response quality, latency, and cost.
• Implement prompt evaluation, model evaluation, monitoring, and guardrails.
• Collaborate with software engineers, data scientists, product teams, and business stakeholders.
• Deploy AI solutions to cloud and production environments.
• Stay updated with the latest developments in Generative AI, LLMs, AI agents, and NLP.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Large Language Models (LLMs).
• Strong understanding of RAG architecture and implementation.
• Experience with LangChain and/or LangGraph.
• Experience with Hugging Face Transformers.
• Knowledge of embeddings, semantic search, and vector databases.
• Experience with prompt engineering and LLM integration.
• Understanding of NLP, machine learning, and deep learning concepts.
• Experience working with REST APIs and AI/ML services.
• Knowledge of Git, software development practices, and testing.

Preferred Skills

• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, or other LLM platforms.
• Experience with Pinecone, FAISS, Chroma, Weaviate, or Milvus.
• Knowledge of PyTorch or TensorFlow.
• Experience developing AI agents and autonomous workflows.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Knowledge of LLM fine-tuning, LoRA/PEFT, or model optimization.
• Experience with AI evaluation frameworks and observability tools.

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Equivalent practical experience with Generative AI will also be considered.

Experience Level

• 1–3 Years: Junior/Associate Generative AI Engineer
• 3–6 Years: Generative AI Engineer
• 6–10 Years: Senior/Lead Generative AI Engineer

What We Offer

• Opportunity to work on cutting-edge Generative AI and LLM projects.
• Exposure to modern AI technologies and frameworks.
• Collaborative and innovation-driven work environment.
• Competitive compensation of ₹8–45 LPA, based on experience and skills.
• Career growth opportunities in AI/ML and Generative AI.

Skills: langchain,python,transformers,rag,llms,langgraph