{"id":3946209,"url":"https://alion.io/job/clera-founding-applied-ai-engineer-6","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":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-08T05:47:12Z"}},"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":"Reinforcement Learning","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-11-08T17:11:01Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-08T20:42:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nAs the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape agent architecture, evaluation systems, and learning loops, and help build the AI team as the company grows.\nWhat You'll Do\nImprove the quality of agent-generated content for social channels and articles, using evaluation systems to make quality measurable.\n\nImprove performance across search engine optimization and generative engine optimization.\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 of experience building production ML or AI systems, including recent hands-on work shipping LLM products or agents.\n\nExperience designing evaluations and learning from outcome signals at scale in search, ranking, recommendations, or related areas.\n\nProficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with a track record of shipping end to end.\n\nProduction applied AI experience in areas such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendations, algorithms, or machine learning research.\n\nExperience improving production AI systems and owning work in a startup or small-team environment.\n\nBackground at a leading AI lab or research program, or another achievement demonstrating comparable technical depth.\n\nExperience with search, ranking, or AI answer engines is valuable. 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