# Senior Applied AI Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-01 **Salary:** USD 200,000–300,000 **Workplace:** on_site ## Description About the company Our client is a fast-growing software company. The role Raydar is recruiting for this role on behalf of our client. Design and build the core software that lets large language models carry out multi-step work reliably in production. You will shape how models are prompted and combined with conventional code, measure quality through rigorous testing, and diagnose real-world failures to make systems more robust. What you'll do \- Develop the core execution framework for AI agents, including orchestration loops, tool usage and context handling. \- Run experiments with models and iterate on agent behavior across realistic, long-running workflows. \- Define where model decisions end and deterministic, type-checked code begins. \- Build evaluation suites on realistic test environments that are dependable enough to gate releases. \- Analyze production failures and trace each one to the right layer, then deliver systematic fixes. \- Extend browser and computer-use agents to systems that lack APIs, with strong safety, security and auditability guarantees. \- Create feedback loops and data systems that bring higher-quality real-task data into evaluation and training. ## Requirements What we're looking for \- Experience with agent frameworks or LLM systems that use tools. \- Strong Python or TypeScript skills and comfort with modern AI tooling. \- Hands-on background measuring or improving model quality, whether through testing, tuning or crafting instructions for models. \- Ability to own systems end to end and debug across the whole stack. \- A systems mindset focused on user outcomes as well as model metrics. \- Satisfaction in tracking down unpredictable production problems and converting what you learn into lasting fixes. \- At least 4 years of relevant experience. \- Ability to work in person five days a week at a startup pace. Bonus points \- Experience building computer-use or browser-automation agents. \- Familiarity with virtualization and sandboxed execution environments, including scaling them. \- AI research experience with publications at leading conferences. \- Experience delivering systems where correctness must hold through partial failure, such as idempotency and resumability. \- Experience integrating enterprise SaaS APIs. \- Comfort working with sizable, unstructured data sources such as application logs. \- Early-stage engineering experience that included working directly with customers. ## Benefits Compensation and benefits \- Base salary: USD 200,000 to 300,000 per year \- Health insurance \- Unlimited paid time off Location and work model \- San Francisco, CA, United States \- On-site, five days a week in office \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/614807B9B4/apply) --- Powered by [Workable](https://www.workable.com)