{"id":4341245,"url":"https://alion.io/job/clera-founding-applied-ai-engineer-7","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":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-15T07:52:55Z"}},"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":"2026-11-15T17:09:19Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T18:29:31Z","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 multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops that help the product deliver reliable results.\nWhat You'll Do\nImprove agent outputs and content quality across social channels and article writing, and build evaluations that make quality measurable.\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 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 machine learning or AI systems, including recent hands-on work shipping LLM products or agents.\n\nExperience designing evaluation systems and using outcome signals at scale in search, ranking, recommendations, or related domains.\n\nProficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with the ability to ship end to end.\n\nProduction experience with applied AI, such as LLM reasoning, post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.\n\nExperience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.\n\nOwnership experience in a startup or small team, plus experience with search, ranking, or AI answer engines, particularly Google.\n\nExperience at a leading AI lab or comparable evidence of technical achievement is valued. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are relevant strengths.\n\nCompensation & Benefits\nTarget annual compensation is $180,000 to $230,000 USD. 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