{"id":449647,"url":"https://alion.io/job/fluency-ai-engineer","title":"AI Engineer","company":{"id":173608,"name":"Fluency","domain":"usefluency.com","url":"https://alion.io/company/fluency","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Anyscale","optional":true},{"name":"AWS Fargate","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"NLP","optional":true},{"name":"pgvector","optional":true},{"name":"Post-training","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Ray","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-05-16T00:10:25Z","employer_posted_date":"2026-05-16","last_verified_at":"2026-10-31T14:49:57Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":168},"description":"We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user-facing features that ship to users.\nYou'll take product requirements and turn them into working prompts, agents, and pipelines. You'll evaluate them rigorously, iterate until they're production-ready, and keep improving them once they ship. This role sits at the intersection of product and platform: you decide what the AI should do, prove it works, and get it in front of users.\nBecause we're an early-stage company moving fast, we're looking for someone who can work quickly through ambiguous AI problems, measure output quality, and ship only when the system is reliable enough for production. This is an in-person role, 5 days a week in our office. The ability to tell the difference between \"looks good in the demo\" and \"works in production\" is essential.\nKey Responsibilities\nBuild new AI features end to end, from prototype to production.\n\nImprove AI output quality through prompt engineering, model selection, retrieval, and evaluation.\n\nDesign and run evals that measure real output quality, not just first impressions.\n\nIterate fast on prompts, agent designs, and orchestration patterns.\n\nPartner with the Product Engineer to translate requirements into AI features that actually work.\n\nPartner with the AI Platform team to land features on solid infrastructure.\n\nEvaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.\n\nWhat We Are Looking For\nHands-on experience building LLM-powered features that shipped to real users\n\nProduction engineering chops in TypeScript/Node (primary, especially in AWS Lambda) and/or Python\n\nExperience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar\n\nPractical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results\n\nTrack record of building evaluation systems that actually catch regressions\n\nSolid software engineering fundamentals: you can write production code, not just notebooks\n\nNice to Have\nExperience with provider-abstraction libraries for multi-LLM workflows\n\nFamiliarity with pgvector or other vector retrieval systems\n\nExperience with post-training or fine-tuning\n\nExperience deploying AI features on AWS Lambda, ECS Fargate, or similar\n\nBackground in ML, NLP, or applied research\n\nExperience with structured output, function calling, and tool use at scale\n\nExperience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads\n\nOpen source contributions in the LLM or agent tooling space\n\nAbout Fluency\nFluency builds a platform that captures how work actually happens inside large organizations, measures productivity and process conformance, and analyzes where AI can do the work.\nWe capture observable work data across tools and systems, structure it into a model of how work runs, and use it to measure productivity, check process conformance, and analyze where AI changes the work.\nFluency is looking for an AI Engineer to own the AI quality and the prompts, agents, evals, and pipelines behind user-facing features that ship to Fortune 500 users.\nOur Customers\nCustomers include CVS Health, Aon, and PVH.\nLocation\nFull-time, in-person role based in San Francisco, CA.\n\nWe offer E-3 sponsorship for Australians to relocate with stipend.\n\nThis role is not a fit if\nYou want hybrid or remote\n\nYou're not comfortable with rapid iteration\n\nYou've never operated production pipelines\n\nYou dislike constraints (we have them: cost, latency, reliability tradeoffs are real)\n\nYou don't have a good reason for wanting to work at an early-stage company\n\nHiring Process\nResume screen\n\n1:1 with founder\n\nTechnical deep-dive on past AI engineering work\n\nWork through a real problem with the team\n\nOffer\n\nWe strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products.\nCompensation & Benefits\nBase salary: US$180,000 to US$250,000\n\nESOP: Available\n\nUS$1,000 per month food and commuting allowance\n\nLaptop of choice","description_format":"text","description_chars":4099,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-06T08:17:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6","filings_12m":6,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":97500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.207,"p_room":0.28,"age_days":168,"expected_fill_days":28,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/fluency-ai-engineer","json_url":"https://alion.io/job/fluency-ai-engineer.json","meta":{"generated_at":"2026-10-31T16:51:40Z","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":26325,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":173608},"rest":"https://alion.io/mcp/rest/get_company?id=173608"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffluency-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%2Ffluency-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%2Ffluency-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/fluency-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffluency-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":449647}},{"tool":"search_jobs","arguments":{"company":"usefluency.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":449647},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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