{"id":1416039,"url":"https://alion.io/job/datasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2","title":"Senior Applied AI Engineer – Agent Runtime (Alwin by DataSnipper)","company":{"id":4724,"name":"DataSnipper","domain":"datasnipper.com","url":"https://alion.io/company/datasnipper","size_band":null,"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":"senior","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":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":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Multi-Agent Systems","optional":true},{"name":"OCR","optional":true},{"name":"OWASP","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-28T15:05:10Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-20T03:17:47Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"We are looking for a Senior Applied AI Engineer to join the Agent Runtime team behind Alwin, our new Agentic Automation Platform for audit and finance. Alwin agents run for long times, work through multi-step audit procedures over client evidence, and return finished work papers with every number traced back to source. Humans review and sign off.\nThe runtime is the layer every agent depends on: the model access, the base system prompt and context, the tools (document extraction, retrieval, sandboxes, MCP integrations), the orchestration of agents and sub-agents, and the observability and evals that tell us whether an agent is performing to objective standards. You will own the applied AI half of that layer. Product teams build audit-specific agents on top of it; you decide how the base agent reasons, what tools it gets and at what abstraction, how it manages context over long horizons, and how we measure and hill-climb accuracy, speed and cost.\nThis is a hands-on role in a small team with a large blast radius. Your work goes in front of hundreds of thousands of audit and finance professionals, and the problems are largely open: there is no playbook for production agents in a regulated domain, so you will help write it.\nAbout DataSnipper\nDataSnipper is the Agentic Automation Platform for audit and finance. Known worldwide for our Excel add-in, we are now building Alwin by DataSnipper: purpose-built agents that execute audit and finance workflows end-to-end, with every output traceable back to source evidence and a human signing off. Headquartered in Amsterdam with offices in New York, Tokyo, Kuala Lumpur and Sydney, we are used by hundreds of thousands of professionals at the world's largest firms. Our mission: automate the mundane, unlock the meaningful.\nWhat You Will Do\nAgent Engineering\nOwn the base agents: system prompt, context engineering, memory and state management for tasks that span many turns and hours of execution\n\nDesign how agents use the tool layer, including document extraction, retrieval, code and file sandboxes, and MCP integrations, choosing the right level of abstraction so agents handle edge cases without wasting effort on mechanical steps\n\nImplement agentic patterns such as sub-agent composition, planning modes, human-in-the-loop gates, and model routing across multiple providers\n\nShip end-to-end: from prototype with our audit domain experts, through evaluation, to production on Alwin\n\nDefine and build automatic processes that improve the agent continuously over time\n\nKeep costs under control and implement cost-efficient approaches to AI-centric workflows\n\nEvaluation & Quality\nExtract signal from long agent trajectories: attribute outcomes to specific reasoning steps and tool calls, classify failure modes, and turn them into fixes\n\nHill-climb accuracy, latency and token cost, and make the trade-offs explicit for the teams building on the runtime\n\nReliability & Collaboration\nInstrument agent behaviour with our observability stack and use production traces to drive improvements\n\nPartner with Agent Experience teams, Document Intelligence and the AI Platform team to turn their needs into runtime capabilities that are self-service rather than a request queue\n\nStay on the frontier: evaluate new models, techniques and agent patterns, and bring the ones that hold up into production\n\nWhat You Will Bring\nMust-Have\n5+ years of software engineering experience with strong, production-grade Python\n\nExperience shipping and operating an LLM-powered product in production: you have dealt with hallucinations, latency spikes, tool failures and cost explosions at scale, and can explain what broke and how you fixed it\n\nHands-on experience building agentic systems: control loops, tool selection, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines\n\nExperience with evaluation: you have built datasets, run offline and online experiments, and used the results to make an AI system measurably better\n\nFluency with LLM APIs and agent frameworks across more than one model provider\n\nProficient with AI-assisted engineering and excited about working with coding agents daily\n\nStrong fundamentals in software architecture and system design, and a track record of reliable, well-tested delivery\n\nExcellent communication; you can work directly with auditors and product partners to define what \"correct\" means\n\nNice-to-Have\nExperience with Durable workflow engines or long-running background task systems\n\nExperience with RAG and retrieval pipelines over large, messy document corpora\n\nDocument AI: VLMs, OCR, structured extraction and their metrics\n\nSandboxed code execution, MCP, or multi-agent orchestration in production\n\nDomain experience in audit, accounting or fintech\n\nFamiliarity with OWASP GenAI security practices and working in a regulated, privacy-sensitive environment\n\nWhat We Expect\nOwnership: You own work end-to-end, anticipate issues, and ensure high-quality delivery with minimal support. We expect you to influence the technical direction of the team.\n\nGrowth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow\n\nCollaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy\n\nAdaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication\n\nJudgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively\n\nWhat we offer\nExcellent salary + stock participation plan\n\nFlexible paid time off\n\nComprehensive medical and dental coverage\n\n401K match\n\nPaid parental leave\n\nCompany-sponsored lunch\n\nHybrid mode of work (at least 3 days onsite in our New York City office)\n\nBeing part of one of the fastest-growing scale-ups in the Netherlands\n\nMake an impact by disrupting the finance industry with us\n\nA flexible and growing organization with lots of opportunities to learn and develop\n\nInternational working environment, with a team of friendly and driven colleagues\n\nAccess to OpenUp and Talkspace, the mental health and wellness platform\n\nMultiple social activities for team building\n\nRecruitment steps\nRecruiter screen\n\nHiring Manager interview\n\nPeer programming session\n\nSystem design interview\n\nFinal interviews with Engineering leadership","description_format":"text","description_chars":6380,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-09-28T20:46:46Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.856,"p_room":0.9,"age_days":21,"expected_fill_days":56,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/datasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2","json_url":"https://alion.io/job/datasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2.json","meta":{"generated_at":"2026-10-20T06:41:58Z","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":7358,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":4724},"rest":"https://alion.io/mcp/rest/get_company?id=4724"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2"},{"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%2Fdatasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2"},{"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%2Fdatasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2"},{"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/datasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatasnipper-senior-applied-ai-engineer-agent-runtime-alwin-by-datasnipper-2"}]}