{"id":138230,"url":"https://alion.io/job/santehq-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":9177,"name":"Santé","domain":"santehq.com","url":"https://alion.io/company/santehq","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Devin","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"pgvector","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prisma","optional":true},{"name":"tRPC","optional":true},{"name":"Vercel","optional":true}],"status":"live","first_seen_at":"2026-08-27T21:50:22Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-18T10:02:27Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Senior Applied AI Engineer - Applied AI\nAbout Santé\nSanté is the #1 operating system for local retailers.\nOur platform runs the entire store - point of sale, integrated payments, eCommerce, inventory management, delivery-app integrations, marketing, bookkeeping, and AI Agents - so the owners of liquor, grocery, and convenience stores can compete like the big chains without losing what makes them local.\nWe're building a future where the corner liquor store has better technology than the national retailer: one place for selling to customers everywhere with AI agents that spots slow-moving inventory and creates the promotion to move it. Every feature we ship lands in real stores the same week, and the feedback loop is direct - our customers call us by name.\nWe move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone.\nAbout the Team\nApplied AI owns the intelligence layer of Santé, including aspects of Merchandising, Custom Reporting, Ecommerce, and Agentic workflows.\nThis is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision.\nAbout the Role\nYou'll design, build, and iterate on the agents powering Santé's core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week.\nIn this role, you will\nApply state-of-the-art ML and LLM techniques to problems spanning:Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals);\nDocument understanding (invoice OCR and structured extraction across LLM engines);\nRetrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations)\n\nBuild agent capabilities on top of Santé's Manager Agent platform - task generation, review workflows, and chat over each store's own data\nBuild the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact\nOwn the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement - and build autonomous harnesses that let agent squads explore new problem spaces in parallel\nCollaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved\nStay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle\nYour background looks something like this\n5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products\nStrong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development\nIn-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement\nProven collaborator and communicator; excels in high-velocity, cross-functional teams\nCurious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI\nBS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience)\nEven better\nExperience with LLM context engineering or harness engineering\nExperience in mid-training or post-training frontier open-source models\nExperience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking)\nExperience with LLM observability and eval tooling (Langfuse or similar) in production\nFamiliarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel\nRetail, pricing, or demand-forecasting domain experience - you know why moving a slow SKU matters to a store's cash flow\nCompensation\n$220k - $300k + Meaningful equity\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and scope of responsibilities. In addition to base salary, we offer meaningful early-stage equity - this team's work is the foundation the company compounds on.\nBenefits\nFully company-covered medical and dental benefits.\n 401(k)\nCatered Lunches and Dinners: Santé provides dinner each evening for employees who would like to eat and connect with the team. Lunch is provided on a weekly basis.\n\nTechnical conversation with our CTO\nOn-site design session + meet with CEO and Head of Product\nReferences\nOffer","description_format":"text","description_chars":5466,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Retail & Shop Systems"],"lifecycle":[{"event":"open","at":"2026-08-27T21:50:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.597,"p_room":0.55,"age_days":50,"expected_fill_days":37,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/santehq-applied-ai-engineer","json_url":"https://alion.io/job/santehq-applied-ai-engineer.json","meta":{"generated_at":"2026-10-18T10:10:44Z","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":15143,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":9177},"rest":"https://alion.io/mcp/rest/get_company?id=9177"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsantehq-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%2Fsantehq-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%2Fsantehq-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/santehq-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsantehq-applied-ai-engineer"}]}