Job
Description
About the Role: We are looking for a passionate and driven AI/ML Engineer with hands-on experience or strong interest in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration. You will be responsible for building and optimizing intelligent agents, RAG pipelines, and dynamic workflows tailored for real-world applications in the blockchain and AI automation space. Key Responsibilities: Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets. Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Chroma, Weaviate, or Qdrant. Work with Hugging Face Transformers, OpenAI/Anthropic APIs, and other foundation model platforms. Integrate prompt engineering techniques to enhance model outputs for agent tasks. Optimize training datasets and workflows for efficiency, accuracy, and scalability. Collaborate with backend teams to deploy models in containerized environments (Docker, FastAPI). Monitor performance metrics and continuously improve the models. Required Skills: Strong understanding of Python and ML frameworks (PyTorch / TensorFlow). Familiarity with LLM APIs (OpenAI, Anthropic, Cohere, etc.) Hands-on experience or knowledge of LangChain and/or LangGraph. Experience in vector database integration for RAG pipelines. Basic knowledge of prompt engineering and model inference logic. Exposure to training or fine-tuning transformer-based models. Nice to Have: Experience with model quantization (GGUF/GGML), LoRA, PEFT, or QLoRA. Exposure to Hugging Face ecosystem, including model hub and datasets. Experience with cloud infrastructure (AWS/GCP), Kubernetes, or GPU clusters. Familiarity with MLOps and model versioning practices. Qualifications: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, AI, Data Science, or equivalent. Project portfolio, GitHub repo, or published demos is a plus (mention in resume). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Schedule: Day shift Fixed shift Work Location: In person
