Senior Software Engineer, AI Development Platforms

Huxley; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Huxley is seeking a Senior Software Engineer to design and build AI-powered developer tooling, with emphasis on production backend services in Go and frontend work in React/TypeScript.

You will collaborate across Product, Design, and Engineering to ship features, own projects end-to-end, and improve system reliability and scalability in cloud environments.

Qualifications

• BS in CS or related field
• Strong Go development experience
• Frontend experience with React/TypeScript
• Experience with AWS and cloud environments
• Experience building distributed systems
• Knowledge of Kubernetes and containers
• Experience with APIs and AI tooling

Responsibilities

• Design and build production-grade backend services primarily using Go.
• Develop and enhance systems that support AI-powered workflows.
• Improve agent orchestration, tool execution, context management, and streaming interactions.
• Build integrations between AI systems, development environments, and tooling.
• Collaborate with Product, Design, and Engineering to deliver features.
• Own projects from design through deployment and iteration.
• Participate in architecture discussions, code reviews, and technical decisions.
• Improve system reliability, scalability, observability, and efficiency.

Skills

Go

React

TypeScript

AWS

Kubernetes

Docker

Linux

APIs

Education

Bachelor's degree in Computer Science or related

Tools

Git

Terraform

CI/CD

Job description

A fast-growing developer infrastructure company is seeking a Senior Software Engineer to help build the next generation of AI-powered software development tooling. This individual will play a key role in developing systems that enable AI agents to operate effectively within real-world engineering environments.

This is a highly visible engineering position offering the opportunity to shape emerging agent-based developer experiences while working across backend systems, cloud infrastructure, and modern web technologies.

What You'll Do

• Design and build production-grade backend services primarily using Go.
• 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.

Ideal Background

• 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.

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

To find out more about Huxley, please visit www.huxley.com