Senior Developer - AI Developer Tools

Arlo Technologies • Milpitas, CA

1d

About The Position

We're building the next generation of AI-powered developer tools — systems that help us ship better code, faster, with minimal manual intervention. As a Senior Developer on this team, you'll be at the intersection of software engineering and applied AI. Your mission: build the coding agent that writes, tests, reviews, and ships our code — and use it to do your own work.
The product is the process. Everyone on the team delivers their roadmap items through the agent, and improves the agent when it falls short.

Requirements

• 5+ years of experience in software engineering.
• Strong Python skills and hands-on experience with LLMs (Claude, OpenAI, etc.) — prompting, tool use, and agent orchestration.
• AI-driven development workflow. You use AI coding agents as your primary implementation method — not autocomplete, but the main worker.
• Strong testing discipline — you know that a coding agent is only as good as its feedback loop.
• Solid understanding of CI/CD pipelines and developer workflows.
• Working knowledge of cloud infrastructure (AWS) and IaC (Terraform, Helm).
• Autonomous, self-driven — can own an area end-to-end.
• A drive to use AI to transform how developers build, test, and deploy software.

Nice To Haves

• Experience building internal tools or developer platforms.
• RAG and knowledge base work — embeddings, vector DBs, chunking strategies, keeping an index fresh against a moving codebase.
• Model fine-tuning / post-training (LoRA, SFT, preference tuning) and eval design.
• Observability and incident workflows (Datadog, Splunk, PagerDuty).
• Kubernetes and container orchestration.
• Contributions to open-source devtools or AI/ML projects.

Responsibilities

• Build and improve the autonomous coding loop: task understanding, code generation, test execution, self-repair, and code review.
• Design the agent's context layer — codebase semantic index, retrieval, and knowledge base so the agent knows our systems as well as we do.
• Leverage LLMs to automate repetitive engineering work and provide smart developer assistance.
• Build scalable Python services and APIs powering internal developer tooling.
• Integrate the agent with the tools we actually use — GitHub, Jira, Slack, Buildkite, Confluence, AWS — via MCP and direct APIs.
• Measure agent quality: evals, benchmarks, and regression suites for agent behavior.
• Work closely with platform and product teams to find high-impact automation opportunities.

Benefits

• We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed