Senior Software Engineer (AI Tools)
United States
Full Time Senior-level / Expert USD 127K - 218K
Coder
The #1 self-hosted cloud development environment with over 50M open source downloads. Discover faster build times & reduce cloud costs with Coder today.We are looking for a Senior Software Engineer excited about shaping the future of developer tooling powered by AI. At Coder, you will have the opportunity to explore, design, and implement the next generation of AI-powered developer tools that seamlessly integrate into developers' workflows while maintaining enterprise-grade security.
What you'll do here
Research, design and build AI-powered tools that leverage LLMs and AI agents to dramatically improve developer productivity
Help define what it means to run AI agents securely at scale, establishing best practices for enterprise environments
Work with cutting-edge AI technologies to create seamless, painless developer experiences
Provide mentorship and guidance around contribution best practices to both internal team members and external contributors
Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations
Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment
What we're looking for
Currently based in the United States or Canada
4+ years of backend-focused experience writing code in a professional setting
Strong proficiency in building distributed systems in Go
Experience with or deep interest in LLMs, AI agents, and related technologies
Self-motivated with a creative and analytical mindset
Thrives in fast-paced environments where you can take ideas from concept to production quickly
Our tech stack
Frontend: Typescript, React, Vite
Backend: Go, Postgres, GCP, Kubernetes, gRPC
IDE Extensions: Typescript, Kotlin
Observability: Prometheus, Grafana
CI/CD: GitHub Actions
General: GitHub, Slack, Discord, Notion
Bonus tacos if you have
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
Experience building on top of or integrating with LLM APIs and AI models
Experience scaling a SaaS application from 0 users to thousands (and hopefully millions)
A background in developer tooling, platform engineering, or IaC
Experience working in a blend of startups and larger organizations
Experience with AI/ML infrastructure, model deployment, or MLOps
About Coder
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview Process
We believe that the interview process should be consistent and enjoyable. We value your time and hope to get through the interview process in two to three weeks if schedules allow. During this time, you will be able to meet a mix of individual contributors, managers, and leadership.
Coder is a Proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Tags: APIs CI/CD Distributed Systems Engineering GCP GitHub Grafana Kubernetes LLMs Machine Learning ML infrastructure MLOps Model deployment PostgreSQL React Research Security TypeScript
Perks/benefits: Career development
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