AI/ML Engineer JR / SR : Remote : 3+ years

Detailed Job Description

Role Summary We’re looking for a highly motivated AI Engineer with 3–5, good to have years of experience to help us build LLM-powered applications. This role is fully remote and will focus on using tools like LangChain, LangGraph, and open-source LLMs such as Ollama, LLaMA, Mistral, or Phi. You'll contribute to developing document understanding systems, intelligent chat agents, and multi-agent orchestration workflows. What you will be doing: • Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots). • Work with open-source LLMs using platforms like Ollama and Hugging Face. • Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution. • Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases. • Collaborate with cross-functional teams to ship features to production. • Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI. Required Skills • 3–5 years of hands-on experience in AI/ML engineering. • Proficient in Python, PyTorch, and Hugging Face Transformers. • Proven experience with LangChain and LangGraph for LLM workflows. • Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs. • Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS). • Skilled in backend integration using FastAPI, Docker, and cloud platforms. • Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing. Nice-to-Have • Experience with LangServe, OpenAI tool/function calling, or agent orchestration. • Background in multi-modal AI (e.g., image + text analysis). • Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow). • Contributions to open-source GenAI projects. • Understanding of LLM safety, security, and alignment principles.