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# Backend Engineer AI Agent Infrastructure

- **Company:** GRX HOLDINGS LLC
- **Location:** United States (Remote available)
- **Salary:** $1.0 - $131,110.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Node.Js, Performance Tuning, Systems Integration, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Golang
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=effedc9048d5084e

## About the Role

Do you have experience in React?, * Strong backend experience in Python, Go, TypeScript/Node, or similar

 * Hands-on experience building AI agents and integrating LLM APIs (OpenAI, Anthropic, open models, etc.)
 * Experience with agent frameworks and patterns (tool calling, ReAct-style loops, orchestration libraries) and vector databases
 * Comfort designing APIs, data models, queues, and cloud infrastructure (AWS/GCP, containers)
 * A bias toward shipping and measuring, then hardening

Nice to have

 * Experience running LLM evals and prompt/version management in production
 * Fine-tuning, model serving, or inference optimization experience
 * Background scaling systems from zero to first real users

## Description

You'll own the backbone that lets our AI agents actually do things: orchestration, tool-calling, memory, and the services that turn model output into reliable product behavior. This is the difference between a demo and a product.

What you'll build

 * Agent orchestration and tool-use frameworks (planning, function/tool calling, multi-step workflows)
 * Retrieval and memory systems (vector stores, RAG pipelines, context management)
 * Robust APIs and event-driven services that the rest of the team builds on
 * Guardrails, retries, fallbacks, and observability so agents behave under real-world conditions


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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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- [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)
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- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
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- [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)