AI/ML Engineer Onsite 3 to 5 Years Remote

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 Skills3–5 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-HaveExperience 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.