{"id":3574515,"url":"https://alion.io/job/clera-founding-applied-ai-engineer-5","title":"Founding Applied AI Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":38,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-31T17:25:42Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-03T04:40:06Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nAs the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.\nWhat You'll Do\nImprove agent output and content quality across social platforms and article writing, using evaluation systems to measure results.\n\nImprove search engine optimization and generative engine optimization performance.\n\nBuild feedback loops that help agents learn from real-world results and performance signals.\n\nImprove production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.\n\nHelp hire and lead the AI team as it grows.\n\nWhat We're Looking For\nAt least 3 years building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.\n\nExperience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.\n\nStrong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.\n\nProduction experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.\n\nExperience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.\n\nExperience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.\n\nSearch, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.\n\nCompensation & Benefits\nAnnual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.\nLocation\nOn-site in San Francisco, California. 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