> Markdown version of [/jobs/ext/3000684-python-developer-llm-genai](https://www.wearedevelopers.com/jobs/ext/3000684-python-developer-llm-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Developer LLM / GenAI - **Company:** Pi-Square Technologies LLC - **Location:** Gaithersburg, MD, United States - **Salary:** $69,000.0 - $105,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Software Debugging, Python (Programming Language), Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Build Management, Virtual Agents, Restful APIs, Microservices - **Published:** September 19, 2026 - **Apply:** https://www.careerjet.com/jobad/us975bf57ed8eaa9c8d98dacd7b5d00d1a ## About the Role We are looking for an experienced Python Developer with strong expertise in Large Language Models (LLMs), LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications using modern GenAI frameworks and scalable cloud-based architectures. Required Skills: * Strong hands-on experience in Python Development * Expertise in LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) * Experience with LangChain and LangGraph * Strong knowledge of RAG (Retrieval-Augmented Generation) architectures * Experience with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.) * Knowledge of Prompt Engineering and AI Agents * Experience with REST APIs and microservices * Familiarity with Azure/AWS/GCP cloud platforms * Strong debugging, testing, and optimization skills ## Description * Build and deploy GenAI and Agentic AI solutions. * Develop RAG-based applications for enterprise use cases. * Integrate LLMs with structured and unstructured data sources. * Design workflows using LangChain and LangGraph. * Optimize model performance, prompt strategies, and retrieval mechanisms. * Collaborate with cross-functional teams to deliver scalable AI solutions. ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Building Blocks of RAG: From Understanding to Implementation](https://www.wearedevelopers.com/videos/1249-building-blocks-of-rag-from-understanding-to-implementation) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)