> Markdown version of [/jobs/ext/2978179-ai-applications-developer-python-langgraph](https://www.wearedevelopers.com/jobs/ext/2978179-ai-applications-developer-python-langgraph). 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). --- # AI Applications Developer (Python / LangGraph - **Company:** Rezult Group - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Python (Programming Language), Large Language Models, Multi-Agent Systems, Build Management, Containerization, Kubernetes, Docker - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/3755af27-1ce6-4882-9aa3-eef8b94e5e8a ## About the Role * Hands-on experience developing with LangGraph and LangChain is a MUST * Strong Python development background * Exposure to AWS Bedrock or similar managed LLM platforms * Familiarity with containerized deployments (Docker, Kubernetes) is a plus * Knowledge of LLM observability and tracing tools to diagnose production issues is a plus * Experience with automated testing or unit testing of AI/LLM-based applications, including strategies for handling non-deterministic outputs * Mid-to-senior level engineer who communicates well with technical teams ## Description * Review an in-flight, multi-agent conversational AI application and identify opportunities to improve the existing architecture and implementation * Design and build an automated testing framework for LLM-driven functionality, including regression and unit-style tests that confirm responses stay consistent from build to build * Develop and enhance agent workflows in Python using LangGraph and LangChain to orchestrate communication between agents and retrieve answers from back-end services * Support the team through upcoming incremental releases ahead of the full application launch this spring * Collaborate daily with a team of developers, as well as infrastructure and technical support groups, to move features through to production * Troubleshoot issues across the full agent chain and help improve visibility into where problems occur ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Are you still programming unit tests or already generating?](https://www.wearedevelopers.com/videos/722-are-you-still-programming-unit-tests-or-already-generating) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [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) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)