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# Infrastructure / Backend Engineer (AI Agents)

- **Company:** ANTS TECHNOLOGY, INC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $180,000.0 - $320,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Software Applications, Microsoft Azure, Programming Tools, Design of User Interfaces, Python (Programming Language), Open Source Technology, Next.js, Software Engineering, TypeScript, Web Applications, Delivery Pipeline, Large Language Models, Backend, Build Management, Free and Open-Source Software, GPT
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=89cc1d6cdc231ef9

## About the Role

Must Have

 * 4+ years of software engineering experience.
 * Experience shipping production AI agents or AI-powered applications.
 * Strong understanding of modern AI models such as GPT-4/4o, Claude, Gemini, or open-source LLMs.
 * Strong TypeScript/JavaScript and Python skills.
 * Experience building modern web applications and backend services.
 * Solid understanding of AI application architecture and LLM integration.
 * Excellent problem-solving and communication skills.
 * Comfortable working in a fast-moving startup environment.

Nice to Have

 * Open-source contributions.
 * Experience with AI frameworks such as LangGraph, LangChain, Vercel AI SDK, or similar.
 * Experience with AWS, GCP, or Azure.
 * UI/UX, product design, or technical writing experience.

## Description

We're hiring an experienced Infrastructure / Backend Engineer to build scalable backend systems, AI agents, and developer infrastructure powering next-generation AI applications.

This is an opportunity to work on cutting-edge AI products in a fast-paced engineering environment with high ownership and technical impact.

What You'll Do

 * Design and build production-ready AI agents for real-world automation.
 * Develop scalable backend services and APIs.
 * Build infrastructure for AI applications, including orchestration, observability, and deployment pipelines.
 * Collaborate closely with engineering and product teams to rapidly deliver new features.
 * Improve developer tooling and internal platforms.
 * Evaluate and integrate the latest AI models into production systems.


## Related Videos

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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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- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)

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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)
- [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)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)