{"id":2323206,"url":"https://alion.io/job/noon-senior-applied-ai-engineer","title":"Senior Applied AI Engineer","company":{"id":1904732,"name":"Noon","domain":"noon.design","url":"https://alion.io/company/noon-design","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":250000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Context Engineering","optional":false},{"name":"Cursor","optional":false},{"name":"DSPy","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Stripe","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Vercel AI SDK","optional":false},{"name":"AI Agents","optional":true},{"name":"Aider","optional":true},{"name":"Cline","optional":true},{"name":"Copilot","optional":true},{"name":"Devin","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-06-03T22:45:37Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-14T16:25:49Z","board_verified":true,"closed_at":null,"days_open":132,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":132},"description":"About Noon\nWe are on a mission to reinvent how designers work in the AI era. We’re backed by top investors including First Round, Chemistry, Homebrew, Scribble and senior leaders from OpenAI, Meta, Google, Ramp, Stripe and more. We’re building the next-generation AI design tool for product teams.\nAbout the Role\nWe’re hiring a Senior Applied AI Engineer to ship the AI features that designers actually use every day. You’ll prototype, evaluate, and refine product capabilities - from prompts and agents to retrieval and tool orchestration - and turn raw model capability into reliable, delightful UX. This is a deeply hands-on role for someone who lives at the seam between AI capability and product, can navigate a large TypeScript codebase, and treats fast iteration over polished engineering as a feature, not a bug.\nYou’ll own AI features end-to-end, capabilities like our AI Cursor, from prompt design and agent orchestration through to the React-aware code transformations that actually ship to users.\nWhat You’ll Do\nBuild user-facing AI features end-to-end: prompt design, agent flows, tool use, RAG pipelines and the production code that makes them work\n\nOwn complex capabilities end-to-end. Take something like AI Cursor from spec to shipped: design the prompt and agent flow, build the retrieval, write the React code transformations, ship the UI, and own the eval\n\nShip directly into our TypeScript monorepo - your code runs in production, not in a side service\n\nRead and reason about React code as data - the model’s job is to modify React, and yours is to make sure it does so reliably\n\nIterate quickly on capability vs. UX tradeoffs - when does the canvas need a fast path vs. a slow path, when should the model suggest vs. just execute\n\nDesign product-facing evaluation: A/B tests, user-driven metrics, LLM-as-judge harnesses, behavioral regression suites\n\nOwn the prompt-engineering, context-engineering, and retrieval layers for every AI feature\n\nKnow when a capability has hit the limit of prompting/retrieval and needs fine-tuning or serving-side work - and raise it.\n\nBe the closest engineer to designers and product - translate user intent into AI capability\n\nMust-Have Requirements\n8+ years software engineering experience, with demonstrable production AI feature work\n\nProduction TypeScript experience in large, complex codebases - you’ve shipped non-trivial features in a TS monorepo and are comfortable owning code end-to-end in a JS/TS stack. This is a hands-on engineering role, not a prompt-tuning role.\n\nStrong prompt engineering, context engineering, and RAG fundamentals\n\nExperience designing agent flows with multi-step tool calling\n\nHands-on experience with LLM APIs and orchestration frameworks (LangChain, LangGraph, DSPy, Vercel AI SDK, or equivalents)\n\nAbility to design and ship product-facing eval pipelines\n\nStrong product instincts - comfortable holding the pen on UX tradeoffs\n\nMove-fast disposition; comfortable with rapid iteration over polished engineering\n\nNice to Have\nAbility to read and reason about React code - components, hooks, state, JSX as a tree. Our AI modifies React code, so understanding what it’s producing is a major plus\n\nAny background in code-generation AI - Copilot-style completion, agentic code editing (Cursor, Cline, Aider, Devin), AST-aware transformations, code-specific RAG, code evaluation harnesses\n\nExperience with streaming AI UX (token streaming, partial renders, cancellation)\n\nFamiliarity with WebSocket-based real-time systems\n\nBackground shipping AI inside collaborative or canvas-based products\n\nWhat You’ll Build\nCanvas-side AI capabilities, including AI Cursor and successor capabilities\n\nMulti-step agent flows that take a user goal and execute it end-to-end against a React codebase\n\nRetrieval pipelines over the user’s design system and existing codebase\n\nReal-time, streaming AI experiences in the canvas\n\nThe eval harnesses that tell us when a feature is shipping-ready vs. needs more work\n\nBenefits\nSalary: $250,000-$400,000 base salary\n\nEquity: Meaningful stock options\n\nHealth Insurance: Best-in-class coverage for the employee and their entire family\n\nLocation: San Francisco HQ","description_format":"text","description_chars":4173,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance","Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T06:41:07Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.262,"p_room":0.28,"age_days":132,"expected_fill_days":23,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/noon-senior-applied-ai-engineer","json_url":"https://alion.io/job/noon-senior-applied-ai-engineer.json","meta":{"generated_at":"2026-10-14T16:45:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21313,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1904732},"rest":"https://alion.io/mcp/rest/get_company?id=1904732"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnoon-senior-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnoon-senior-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnoon-senior-applied-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/noon-senior-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnoon-senior-applied-ai-engineer"}]}