Skills

Full description

7-10 years of software development experience with strong proficiency in Python.
Strong hands-on experience in Generative AI application development.
Expertise in Prompt Engineering and prompt optimization techniques.
Strong development experience with LangChain and LangGraph.
Experience building enterprise-grade RAG (Retrieval-Augmented Generation) solutions.
Hands-on experience with Large Language Models (LLMs) and AI Agent architectures.
Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
Strong knowledge of vector databases, embeddings, semantic search, and retrieval systems.
Experience designing and developing REST APIs using FastAPI.
Understanding of microservices architecture and scalable backend development.
Experience working with structured and unstructured data sources for AI applications.
Knowledge of model evaluation, prompt testing, and AI performance optimization.
Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
Strong analytical, problem-solving, and debugging skills.
Experience working in Agile/Scrum environments.
Excellent communication and collaboration skills.