Job Description
Hands-on experience with LangChain and/or LangGraph Strong understanding of LLMs (OpenAI, Azure OpenAI, open-source models, etc.) Proficiency in Python Experience with prompt engineering and AI workflow orchestration Familiarity with vector databases (FAISS, Pinecone, Chroma, etc.) Experience integrating AI applications with REST APIs Understanding of cloud platforms (AWS, Azure, or GCP) Exposure to model deployment and monitoring concepts
Design and develop LLM-based applications using LangChain and LangGraph Build and orchestrate agentic workflows, multi-step reasoning pipelines, and AI graphs Integrate LLMs with tools, APIs, vector databases, and external systems Develop conversational AI solutions such as chatbots, copilots, and assistants Implement prompt engineering, chaining strategies, and memory management Optimize AI workflows for performance, scalability, and reliability Collaborate with backend, frontend, and data teams for end-to-end AI solution delivery Perform testing, debugging, and enhancement of AI pipelines Stay updated with the latest trends in Generative AI and LLM ecosystems Contribute to documentation, best practices, and reusable AI components
LangChain LangGraph Generative AI & LLMs Python Prompt Engineering
