Job
Description
AI Engineer ML and LLM Job Location: Pune Experience: 2+ Years We are seeking a motivated and skilled AI Engineer to join our innovative team. The ideal candidate will have a strong passion for building practical AI applications and a drive to stay at the forefront of the rapidly evolving field of generative AI. If you enjoy working with cutting-edge models and frameworks to solve real-world problems, we encourage you to apply. Key Responsibilities Develop, train, and fine-tune large language models and other generative architectures such as VAEs, Transformers, and GANs. Integrate AI models with applications using frameworks like LangChain, LlamaIndex, and CrewAI. Design and build specialized LLM-based agents for tasks including summarization, classification, QA, and translation. Create prompt templates and manage semantic memory flows with vector databases like Pinecone or FAISS. Work alongside backend and data teams to process and ingest data from various sources, including PDFs, APIs, and structured databases. Benchmark model performance and conduct experiments to optimize for cost, efficiency, and quality. Stay current with the latest advancements in AI research and apply new techniques to our production environment. Produce clean, modular, and reusable code with comprehensive documentation and test coverage. Troubleshoot and resolve any issues related to model deployment or inference. Required Technical Skills Strong proficiency in Python programming. Hands-on experience with foundation models (e.g., Transformers, Hugging Face, OpenAI/Anthropic/Gemini APIs). Experience with agentic frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI. Familiarity with vector databases like Pinecone, FAISS, or Weaviate. Solid understanding of prompt engineering, few-shot learning, and the fundamentals of fine-tuning. Proven ability to process and clean unstructured data from sources like PDFs and research papers. Knowledge of NLP metrics and techniques for model evaluation. Desired Personal Attributes A strong sense of curiosity and the ability to quickly learn new models and tools. Meticulous attention to detail and a strong commitment to delivering high-quality work. An ownership mindset with a focus on outcomes, not just writing code. The ability to work independently, navigating ambiguity to push projects forward. A passion for building usable AI solutions rather than just research prototypes. Excellent communication and collaboration skills to work effectively with technical and domain-focused teams. Bonus Points Experience deploying models using FastAPI, Docker, or Streamlit. Previous experience building or deploying LLMs into a production environment. Professional experience in the healthcare domain. A portfolio of personal projects, GitHub repositories, or AI experiments that showcase your passion and skills.
