AI Applications Developer (Python / LangGraph

Rezult Group
United States
12 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Automation of Tests Unit Testing Python (Programming Language) Large Language Models Multi-Agent Systems Build Management Containerization Kubernetes Docker

Job 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

Requirements

  • 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

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:25 min

Constructing scalable AI solutions using LangChain and LangGraph

Julián Duque Julián Duque · World Congress 2025

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:55 min

Understanding the chore and effort of unit testing

Ewald Ewald · World Congress 2024

5:42 min

Building low-code AI application pipelines visually using Langflow interfaces

David Leconte David Leconte +1 · World Congress 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

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