Generative AI Engineer (LLM & Python) - Mohali

Role Overview

We are looking for a passionate Generative AI Engineer to join our growing AI team in Mohali. In this role, you will design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation. You will collaborate with cross-functional teams to build scalable AI solutions that solve real-world business problems while staying at the forefront of emerging AI technologies.

Responsibilities

• Design, develop, and deploy AI-powered applications using Python and modern Generative AI frameworks.
• Build and optimize applications using Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, Llama, Qwen, and other open-source models.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases including Pinecone, ChromaDB, or FAISS.
• Build AI workflows and autonomous agents using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Integrate AI APIs and third-party services into production applications.
• Fine-tune prompts, optimize inference performance, and improve AI response quality.
• Develop scalable backend services for AI applications using REST APIs and Python.
• Collaborate with software engineers and product teams to integrate AI capabilities into client solutions.
• Monitor application performance, optimize latency, and improve system reliability.
• Stay updated with the latest advancements in Generative AI, LLMs, AI Agents, and emerging technologies.

Requirements

• 1–4 years of experience in AI Engineering, Machine Learning, or Python Development.
• Strong proficiency in Python programming.
• Good understanding of Machine Learning, Deep Learning, and Natural Language Processing (NLP).
• Hands-on experience working with Large Language Models (LLMs).
• Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Practical experience using LangChain, LangGraph, CrewAI, or similar AI orchestration frameworks.
• Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
• Experience integrating OpenAI, Anthropic Claude, Google Gemini, or Hugging Face APIs.
• Knowledge of REST APIs, Git, Docker, and version control.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work independently and collaborate within a team.

Skills

• Python
• LangChain
• LLMs
• RAG
• Vector Databases

Nice to Have

• Experience building AI Agents and multi-agent systems.
• Knowledge of MCP (Model Context Protocol).
• Familiarity with Hugging Face Transformers and open-source LLMs.
• Experience with PyTorch or TensorFlow.
• Understanding of MLOps, model deployment, and monitoring.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Contributions to GitHub, AI research, or open-source projects.
• Experience using tools like n8n, Make, Zapier, or other workflow automation platforms.

Benefits

• Flexible schedule
• Leave encashment
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund