3-5 years of experience in Python-based application development with exposure to AI/LLM solutions
- Hands-on experience building LLM applications using LangChain and/or LangGraph
- Strong understanding of LLM concepts, prompt engineering, embeddings, transformers, and vector search
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar
- Knowledge of machine learning fundamentals and frameworks such as Scikit-learn, PyTorch, or TensorFlow
- Experience developing and deploying REST APIs, Docker-based applications, and CI/CD pipelines
- Exposure to cloud platforms such as GCP,
- Understanding of agentic workflows, tool integration, and multi-step reasoning systems
- Robust problem-solving, debugging, and collaboration skills
- Exposure to MLOps, monitoring, and production support is a pluss