Senior Developer - AI Developer Tools
Arlo Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Arlo. Milpitas · full-time · no salary stated · we estimate $161,745–$225,300 across the United States.
Arlo has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build the coding agent's cycle for understanding tasks, writing code, running tests, repairing failures and reviewing changes
- Give the agent codebase context through semantic indexing, retrieval and a maintained knowledge base
- Create Python services and APIs, and connect the agent to GitHub, Jira, Slack and other named tools
- Evaluate agent behavior with benchmarks and regression tests, then work with platform and product teams on automation
- Use the coding agent for your own roadmap work and improve it when it falls short
What you bring
- At least five years of software engineering experience
- Strong Python ability and practical LLM experience, including prompting, tool use and agent orchestration
- You use AI coding agents as your main way to implement work, not merely for autocomplete
- A disciplined testing approach, plus a solid grasp of CI/CD pipelines and developer workflows
- Working familiarity with AWS and infrastructure tools such as Terraform or Helm
Who this fits
This senior role suits an autonomous engineer who can own an area end to end and wants to reshape how developers build, test and deploy software. You’ll build the agent and use it to deliver your own work, with substantial ownership of the roadmap.
From the employer
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.
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 — 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.
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, PagerDuty).
- 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 to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.
Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.
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. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.