Generative AI Engineer (LLM & Python) - Mohali

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. Key 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. Required Skills & Experience 14 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. Preferred Skills 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. Why Join Us Competitive salary based on experience. Opportunity to work on cutting-edge Generative AI and automation projects. Exposure to the latest AI models, frameworks, and technologies. Career growth in one of the fastest-growing technology domains. Supportive, collaborative, and innovation-driven work environment. Flexible working hours. Continuous learning and skill development opportunities. Compensation: 15,000.00 - 40,000.00 per month Benefits Flexible schedule Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work Location: In person .