{"id":193398,"url":"https://alion.io/job/sequence-ae-ai-engineer-nyc","title":"AI Engineer - NYC","company":{"id":1975608,"name":"We are Sequence HQ Ltd","domain":"sequencehq.com","url":"https://alion.io/company/sequencehq","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":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","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":210000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub","optional":false},{"name":"Linear","optional":false},{"name":"LLM","optional":false},{"name":"Notion","optional":false},{"name":"Slack","optional":false},{"name":"Exposed","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Http4k","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"LangSmith","optional":true},{"name":"PostgreSQL","optional":true},{"name":"React.js","optional":true},{"name":"Sentry","optional":true},{"name":"Spring Boot","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-05-15T13:09:48Z","employer_posted_date":"2026-05-15","last_verified_at":"2026-10-22T03:20:20Z","board_verified":true,"closed_at":null,"days_open":159,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":158},"description":"About Sequence\nIf you join Sequence, you'll help build the platform that lets companies get paid - we’re already processing $1bn+ in annual invoice volume and growing fast.\nWe're building the AI-powered revenue platform for modern finance teams, replacing fragile spreadsheets and legacy systems with software their teams love using.\nCognition, incident.io, MoonPay, and 100+ other high-growth companies trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition.\nFounded by repeat entrepreneurs, we hit 10x ARR growth last year and justclosed a $20M Series A led by 645 Ventures, alongside a16z and exceptional founders and CFOs from companies like Decagon, Klaviyo and Wise.\nWhat's it like to work at Sequence?\nSmall team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company.\nIf you want to do the best work of your career at a company that's scaling fast, we'd love to meet you.\nWhat you'll be doing\nWe care deeply about the quality of the product we're building. We're looking for engineers who are ambitious and take ownership end-to-end: from identifying what to build, through shipping, to making sure it works for real customers.\nHere’s what you might work on:\nOur AI infrastructure. We process over a billion dollars a year through Sequence so correctness is table-stakes. You'll build and own the platform that allows us to build reliable software on top of non-deterministic models, including agentic workflows, prompt iteration, tools, and evals.\n\nAI-powered approval workflows. Enterprise deals need approval chains, but rigid workflows break when every company has different rules. You'll build flexible routing that customers configure in natural language - \"require VP approval for deals over $100k with annual terms\" - and turn that into deterministic, auditable business logic.\n\nAn intelligent collections agent. Chasing late payments is tedious, manual work. We're building an agent you instruct in natural language (“send a reminder at 7 days overdue; escalate at 14 days”), which then runs the entire workflow and collects the relevant context autonomously.\n\nWe're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship.\nWe’re looking for product engineers who live in this space. You have informed views on which tool to reach for and when. You’ve built side projects to see what’s possible. You take AI security seriously - you’ve scrutinized the threat vectors and you treat models as untrusted by default.\nSee what we’ve shipped in our public changelog.\nYou should apply if\nYou're a builder who wants to solve problems end-to-end:\nYou've shipped LLM-based systems to real customers and have first-hand experience with how they fail in production\n\nYou've designed agentic systems and have informed views on the building blocks (like embeddings, memory, tool use, long-running state, recovery from partial failures) and when to reach for each\n\nYou’ve built evals infrastructure (like datasets, LLM as judge, prompt regression tests, monitoring) and have a clear view of what good looks like\n\nYou respect the weight of building business-critical systems on top of non-deterministic models and are comfortable writing resilient software\n\nYou have informed opinions about the tooling for building, evaluating, and securely running multi-provider AI systems in production\n\nYou've shipped production backend systems and care about the difference between \"it works\" and \"it's reliable\"\n\nYou care about customers - you want to understand why you're building something, not just what\n\nYou’re comfortable with ambiguity. You thrive in early ideation stages, share work-in-progress to gather feedback, and adapt easily based on input\n\nYou communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build\n\nThis might not be right if\nWe're a small team moving fast on hard problems. That might not be a fit if you:\nPrefer a slower pace. Customers are depending on what we ship\n\nEnjoy larger organisation structures and staying only within your area of expertise. Taking ownership here means doing whatever the problem needs\n\nWant a traditional engineering team set up, with a predictable roadmap and clearly scoped out tickets provided for you\n\nAren't comfortable with production responsibility. We're revenue-critical infrastructure - on-call matters here\n\nTech stack\nWe hire for ability, not a specific tech stack. Most of the team learned Kotlin here:\nBackend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k),\n\nStorage: Postgres, BigQuery\n\nAI Platform: Vertex AI, Langsmith, more to come here\n\nAsync messaging: Google Cloud Pub/Sub\n\nInfrastructure: Google Cloud, Terraform\n\nFrontend: TypeScript, React\n\nMonitoring: Google Cloud Monitoring, Sentry\n\nTools: GitHub, Slack, Notion, Linear\n\nRead our engineering principles\nHow we work\nWe’re based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays.\nYou'll join a cross-functional product team working directly with design and product. We get together twice a year for company offsites.\nWhat we offer\nSalary: $210,000 - $230,000\n\nEquity: Meaningful share options\n\n20 days vacation plus national holidays\n\nCompetitive healthcare and 401K\n\nVisa sponsorship available\n\nInterview process\nWe move fast - typically 2 weeks start to finish. We've written a detailed blog post about the process with tips for how to prepare.\nPublic resources on Sequence:\nYoutube:\nSequence Youtube Channel\n\nPodcasts:\nWharton FinTech: Reinventing Billing & Quote-to-cash (Dec 2025): origin story, why Riya built Sequence after her first exit.\n\nTech Finance with Sasha Orloff: E14: Revenue Models 101 & the New Stack: pricing/revenue models, quote-to-cash thesis.\n\nRiding Unicorns: S6E5 (written recap): M&A, founding story, enterprise product views.\n\nBae HQ: Episode 207: a16z round, category vision.\n\nThe SaaS CFO with Ben Murray: AI-native B2B billing pitch.\n\nConverge Podcast (May 2024): \"financial router\" framing.\n\nTranscript of the Wharton FinTech episode if you want to skim rather than listen.\n\nWritten:\nUSXP: From Oxford to a16z: building a US-first mindset at Sequence: go-to-market and US expansion.\n\nThe FP&A Guy: How modern finance teams are automating billing with AI: guest piece on AI in finance ops.\n\nSequence blog: Introducing Sequence 2.0: her launch post for the AI-native rebuild.","description_format":"text","description_chars":6663,"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":["401k plan","Equity","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-03T01:43:59Z"},{"event":"reopen","at":"2026-10-15T07:28:27Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.177,"p_room":0.28,"age_days":158,"expected_fill_days":23,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/sequence-ae-ai-engineer-nyc","json_url":"https://alion.io/job/sequence-ae-ai-engineer-nyc.json","meta":{"generated_at":"2026-10-22T05:10:04Z","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":5914,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1975608},"rest":"https://alion.io/mcp/rest/get_company?id=1975608"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsequence-ae-ai-engineer-nyc"},{"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%2Fsequence-ae-ai-engineer-nyc"},{"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%2Fsequence-ae-ai-engineer-nyc"},{"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/sequence-ae-ai-engineer-nyc\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsequence-ae-ai-engineer-nyc"}]}