{"id":99258,"url":"https://alion.io/job/career-ai-engineer-2","title":"AI Engineer","company":{"id":27001,"name":"AI Fund","domain":"aifund.ai","url":"https://alion.io/company/aifund","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":87,"open_postings":43,"ghost_share":0.14,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":88,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":179000,"max_usd":391000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"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":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-12T22:44:55Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-17T08:08:52Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":65},"description":"About LearnVector\nFor most of history, great teaching has been scarce. A brilliant teacher who knows you well, adapts to how you learn, and patiently stays with you until you get there - almost no one has had that. AI changes what's possible. LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning, with a mission to accelerate human development. We're a small, fast-moving team working on-site in Mountain View, California and backed by a $100 million investment from Coursera.\nAbout the role\nThe AI Engineer will build the agentic systems at the core of the product: systems that understand each learner, plan a path with them toward skills worth having, and work with them step by step until they get there.\nThis is not a wrap-an-API role. The hard problems are the ones frontier models don't solve on their own: maintaining an accurate picture of a learner over weeks and months, deciding what to teach next and when to hold back, keeping long-running conversations useful rather than merely pleasant, and verifying that generated teaching is correct before a learner ever sees it. You'll own systems end to end - design, implementation, evaluation, and iteration against real learner data.\nWhat you will do\n- Design and build the agentic core: multi-step tutoring loops, tool use, memory, and planning over long-horizon learner relationships\n- Build the learner model - the evolving, evidence-backed representation of what each learner knows, wants, and responds to - and the systems that read and write it\n- Build evaluation harnesses for conversational quality and teaching quality, and use them to drive iteration; define what \"this session taught something\" means operationally and measure it\n- Design guardrails and verification layers so generated content and tutor claims meet a bar a trusted brand requires\n- Work daily with the founding team, including Andrew, on the hardest product questions: what should an AI tutor do, and how do we know it's working?\nWhat you bring\n- AI-native: you default to AI-assisted coding and building agentic automations in everything you do, you have an appetite for and record of experimenting with the newest AI engineering practices\n- Experience as a software engineer, with substantial hands-on work building with LLM APIs (Claude, OpenAI, or similar): agentic workflows, tool use, structured output, long-context and memory patterns\n- Experience shipping and operating LLM systems in production, including evaluating them - you have opinions about evals because you've built them\n- Strong Python and/or TypeScript/Node engineering skills; 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