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# Senior Software Engineer, AI Development Platforms

- **Company:** Huxley Associates
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Code Review, Linux, Programming Tools, Distributed Systems, Software Tools, Software Engineering, Systems Integration, TypeScript, Cloud Platform System, ReactJS, Large Language Models, Multi-Agent Systems, Reliability of Systems, Containerization, Kubernetes, Free and Open-Source Software, Docker
- **Published:** September 2, 2026
- **Apply:** https://www.huxley.com/en-gb/job/senior-software-engineer-ai-development-platforms/4071102

## About the Role

* Strong experience designing and operating production software systems.
 * Hands-on development experience with Go.
 * Experience building frontend applications using React and TypeScript.
 * Exposure to AI, LLM-powered applications, agent frameworks, or autonomous workflows.
 * Experience integrating with APIs and designing distributed systems.
 * Strong understanding of cloud environments and production infrastructure.
 * Experience with AWS and containerized environments.
 * Strong communication and problem-solving skills.

Preferred Experience

 * AI coding assistants or developer tooling.
 * Multi-agent systems and agent orchestration frameworks.
 * Secure execution environments, sandboxing, or remote compute.
 * Kubernetes, Docker, Linux, and cloud-native infrastructure.
 * Open-source contributions.
 * Customer-facing engineering experience.

## Description

* Develop and enhance systems that support AI-assisted and autonomous software development workflows.
 * Improve agent orchestration, tool execution, context management, streaming interactions, and long-running processes.
 * Build integrations between AI systems, development environments, infrastructure platforms, and engineering tools.
 * Collaborate closely with Product, Design, and Engineering teams to deliver impactful features.
 * Own projects from design through deployment and iteration.
 * Participate in architecture discussions, code reviews, and technical decision-making.
 * Improve system reliability, scalability, observability, and operational efficiency.


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