AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex)

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About The Role

Key Responsibilities

• Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex.
• Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows.
• Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc.
• Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation.
• Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications.
• Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems.
• Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics.
• Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools.
  

Required Skills & Experience

• 1+ years of hands-on experience in Python development for AI/ML applications.
• Solid understanding of large language models, prompt engineering, and model fine-tuning.
• Proficient with LangChain and LlamaIndex for building composable LLM workflows.
• Experience building RAG systems, including retrieval, chunking, embedding, and context injection.
• Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone.
• Experience with Hugging Face Transformers, OpenAI, or similar model providers.
• Good understanding of REST APIs, microservices architecture, and deploying AI services in production.
  

Nice To Have

• Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services.
• Experience with LangGraph, AutoGen, or similar agent orchestration frameworks.
• Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow.
• Understanding of data privacy, security, and ethical AI principles.
• Computer Vision
  

Qualification: BE/Btech/MCA/MSC

Benefits

• Work with state-of-the-art AI and LLM technologies
• Access to training, certifications, and conferences in AI/ML
• Collaborative and innovative work culture