Undergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus

5+ years of qualified experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs

Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn)

Proven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency

At least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc.

Solid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms

Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications

Experience creating UI using React and integrating the UI with the backend using REST APIs is a big plus

📌 Artificial Intelligence Developer (India)
🏢 Five Data Products And Solutions
📍 India