Senior Developer - AI Developer Tools

## Senior Developer - AI Developer Tools Apply:
Milpitas, CA:
Full time:
Posted 5 Days Ago:
JR100432
** About Arlo:
** At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry.

Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day.

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.
** What You'll Do**- 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 — Git Hub, 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.
** What You Bring**- 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.
** Bonus Points**- 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, Pager Duty).

- Kubernetes and container orchestration.

- Contributions to open-source devtools or AI/ML projects.
** Why This Role**- You build the agent, then use the agent to build the agent. Fast feedback, visible impact.

- Small team, high autonomy, direct ownership of the roadmap.

- Applied AI on a real codebase with real users — not a demo.

We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you…