{"id":3579965,"url":"https://alion.io/job/raydar-senior-applied-ai-engineer-2","title":"Senior Applied AI Engineer","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Use","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-11-08T23:38:27Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"About the company\nOur client is a fast-growing software company.\nThe role\nRaydar 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.\nWhat you'll do\n- Develop the core execution framework for AI agents, including orchestration loops, tool usage and context handling.\n- Run experiments with models and iterate on agent behavior across realistic, long-running workflows.\n- Define where model decisions end and deterministic, type-checked code begins.\n- Build evaluation suites on realistic test environments that are dependable enough to gate releases.\n- Analyze production failures and trace each one to the right layer, then deliver systematic fixes.\n- Extend browser and computer-use agents to systems that lack APIs, with strong safety, security and auditability guarantees.\n- Create feedback loops and data systems that bring higher-quality real-task data into evaluation and training.\nRequirements\nWhat we're looking for\n- Experience with agent frameworks or LLM systems that use tools.\n- Strong Python or TypeScript skills and comfort with modern AI tooling.\n- Hands-on background measuring or improving model quality, whether through testing, tuning or crafting instructions for models.\n- Ability to own systems end to end and debug across the whole stack.\n- A systems mindset focused on user outcomes as well as model metrics.\n- Satisfaction in tracking down unpredictable production problems and converting what you learn into lasting fixes.\n- At least 4 years of relevant experience.\n- Ability to work in person five days a week at a startup pace.\nBonus points\n- Experience building computer-use or browser-automation agents.\n- Familiarity with virtualization and sandboxed execution environments, including scaling them.\n- AI research experience with publications at leading conferences.\n- Experience delivering systems where correctness must hold through partial failure, such as idempotency and resumability.\n- Experience integrating enterprise SaaS APIs.\n- Comfort working with sizable, unstructured data sources such as application logs.\n- Early-stage engineering experience that included working directly with customers.\nBenefits\nCompensation and benefits\n- Base salary: USD 200,000 to 300,000 per year\n- Health insurance\n- Unlimited paid time off\nLocation and work model\n- San Francisco, CA, United States\n- On-site, five days a week in office\n- Full-time","description_format":"text","description_chars":2668,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[{"name":"United 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