{"id":3758173,"url":"https://alion.io/job/raydar-applied-ai-engineer-7","title":"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":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Python","optional":false},{"name":"FastAPI","optional":true}],"status":"live","first_seen_at":"2026-11-04T17:35:58Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T03:20:02Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the company\nOur client is an enterprise software company.\nThe role\nRaydar is recruiting for this role on behalf of our client. Design and build the AI layer of a software product, defining how the system reasons, coordinates multi-step tasks and interacts with users. The work covers agentic workflows, model integrations, evaluation and reliability, and close partnership with frontend and backend engineers.\nWhat you'll do\n- Build multi-step agent workflows that track state, propose actions and carry tasks through to completion.\n- Link language models to external functions, stored context and lookup layers that span mixed data sources.\n- Safeguard sensitive information and design fallback behavior for failed tools, incomplete inputs and unreliable model outputs.\n- Set up test harnesses that score how well generative features perform and feed results back into iteration.\n- Tune AI interactions for speed, clarity and user control.\n- Work with frontend and backend engineers to bring AI features into everyday product workflows.\n- Weigh trade-offs between model capability, latency and reliability.\nRequirements\nWhat we're looking for\n- Hands-on record of deploying language-model agents to live users, including function calling, stateful context and self-directed planning.\n- Proven ability to raise the output quality of AI features through systematic scoring and testing.\n- Experience leading multi-quarter technical projects from design through delivery.\n- Expert-level Python backend development skills.\n- Experience building retrieval systems over structured and unstructured data.\nBonus points\n- Prior work in a small, fast-paced engineering group at a young company.\n- Background in manufacturing or industrial operations software.\n- Master's degree in computer science, mathematics, physics or a related quantitative field.\n- Familiarity with FastAPI.\nBenefits\nCompensation and benefits\n- Salary: $160K - 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