{"id":134516,"url":"https://alion.io/job/scispot-full-stack-ai-engineer","title":"Full Stack AI Engineer","company":{"id":179617,"name":"Scispot","domain":"scispot.com","url":"https://alion.io/company/scispot-2","size_band":"11-50","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":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","IN","DE","GB","NL","PL","ES"],"hiring_countries_total":7,"salary":{"min":80000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Spring Boot","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-27T17:01:32Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-19T18:08:04Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Why Scispot\nScispot began after my brother Guru and I (Satya) watched someone they loved run out of time while slow, manual lab processes delayed a promising treatment. We are building Scispot so life-saving science can move at software speed.\nBiotech & Lifescience teams should not have to choose between moving fast and keeping their data clean, connected, traceable, and ready for AI.\nWe are building the digital backbone for scientific discovery. Scispot connects lab operations, instrument data, scientific workflows, and AI-driven insights in one platform. This becomes the memory layer for lifescience teams for their agents.\nYour code will not optimize clicks for another consumer app. It will help scientists run experiments faster, trace samples accurately, automate repetitive work, and move treatments closer to patients.\nThis is a rare chance to build infrastructure at the intersection of software, AI, data, and biology.\nWhat You'll Do\nOwn major product areas from first customer conversation to production. You will define the problem, choose the architecture, build the interface and backend, deploy it, measure its impact, and keep improving it.\nBuild the GLUE and API layers that reliably move data from lab instruments, external systems, and scientific files into Scispot.\nLet scientists query the full journey of a sample-from batch to run to assay-using natural language, graph-backed data, and grounded retrieval.\nBuild AI agents that can take useful actions inside lab workflows, not merely produce text.\nImprove recommendation, search, memory, and retrieval systems across OpenSearch, vector databases, graph databases, and LLM pipelines.\nTurn one-off lab instrument integrations into reusable connectors, SDKs, templates, and eventually a self-serve connector ecosystem.\nBuild polished workflows across React and TypeScript, Java Spring Boot and Python services, APIs, queues, data stores, and AWS infrastructure.\nImprove EKS infrastructure, automated tests, telemetry, incident response, and system reliability as Scispot grows.\nSpeak with scientists and lab operators regularly. Learn how their work actually happens. Then ship tools that remove real bottlenecks.\nTurn incomplete requirements and messy scientific workflows into simple, reliable software without waiting for a perfect PRD.\nFirst 30 days\nJoin customer calls and map one complete lab workflow, including the instruments, data handoffs, user decisions, and current sources of manual work.\nShip a production improvement to a live customer workflow. It could improve instrument ingestion, scientific search, sample traceability, workflow automation, or Scibot.\nAudit one critical path across the interface, APIs, data layer, and infrastructure. Find the highest-risk reliability or scaling issue and fix at least one part of it.\nFirst 60 days\nOwn and launch one meaningful full-stack feature or instrument integration. Handle the scope, architecture, implementation, tests, telemetry, rollout, and customer feedback.\nImprove one core AI or data path, such as recommendations, retrieval, ETL, search, or sample chain of custody.\nDefine a clear success metric for your work. Examples include time saved, fewer manual steps, lower error rates, faster processing, stronger adoption, or better system reliability.\nFirst 90 days\nBecome the clear owner of a core product area such as Scibot, GLUE and APIs, instrument integrations, scientific search, or chain of custody.\nTurn lessons from several customer implementations into a reusable platform capability rather than another one-off solution.\nPresent a technical plan for the next two quarters. Explain the customer need, architecture, risks, trade-offs, milestones, and expected impact.\nRaise the engineering bar through better tooling, tests, observability, documentation, or deployment workflows that help the full team move faster.\nWhy this role is different\nYou will work directly with the founders and influence product direction, technical architecture, hiring, and how Scispot builds.\nYou will be trusted with real production ownership early. There is no long waiting period before your work matters.\nYou will hear directly from scientists when something you built saves them time-or fails to solve their problem.\nYou will work across product engineering, AI, data systems, infrastructure, and customer discovery instead of being confined to one narrow layer.\nYou will have room to challenge the roadmap. Strong reasoning and customer evidence matter more than title or seniority.\nYou will help shape the engineering culture of a small team while remaining deeply hands-on.\nYou will build systems that can become core infrastructure for the next generation of biotech companies.\nYou might thrive here if\nYou have taken a product, major feature, internal tool, or open-source project from zero to one.\n\nYou can turn a vague goal into a concrete plan without waiting for someone else to break the work into tickets.\n\nYou have strong product judgment. You know when to ship a simple version and when reliability, security, or data integrity requires deeper work.\n\nYou are comfortable moving between a React interface, backend services, APIs, databases, queues, cloud infrastructure, and AI systems.\n\nYou enjoy speaking with users and believe customer discovery is part of engineering.\n\nYou take responsibility for outcomes, including bugs, failed assumptions, production issues, and adoption after launch.\n\nYou have founder, early-stage startup, side-project, or open-source experience that shows initiative and resourcefulness.\n\nYou learn new tools quickly. We care more about strong fundamentals and evidence of ownership than exact keyword matches.\n\nExperience with AWS services (ECS, Lambda, RDS, S3, CloudWatch, etc.).\n\nExperience with Next.js.\n\nExperience with Spring Boot and/or FastAPI.\n\nExposure to Generative AI, LLMs, RAG systems, AI agents, or AI-powered products.\n\nExperience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.\n\nFamiliarity with compliance, governance, security, risk, or regulated industries.\n\nExperience working in an early-stage startup environment.\n\nThis role is probably not for you:\nYou want every requirement fully specified before you begin.\nYou prefer to own only the frontend, only the backend, or only the architecture.\nYou measure success by tickets completed rather than customer or business outcomes.\nYou optimize for perfect abstractions before learning whether users need the feature.\nYou want to move into management and step away from hands-on building.\nYou avoid customer conversations, production incidents, or decisions made with incomplete information.\nYou need several layers of approval before shipping a sensible change.\nYou want a predictable maintenance role with a fixed and narrow scope.\nWhat we will ask you about\nShow us one product or system you personally took from idea to production.\nTell us what was unclear at the beginning, what decisions you made, what you shipped, and what changed for users.\nShare a live product, repository, demo, architecture note, or short walkthrough when possible.\nEvidence of initiative and ownership matters more to us than employer prestige, degrees, or polished interview language.\nJoin Scispot if you want to build like a founder, remain close to users, and apply software and AI to problems that matter beyond software. You will have high autonomy, direct feedback, hard technical problems, and a visible link between what you ship and how quickly scientists can do their work.\nScreening call followed by live interview","description_format":"text","description_chars":7581,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"India","iso":"IN","kind":"country"},{"name":"Germany","iso":"DE","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-08-27T17:01:32Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.35,"age_days":52,"expected_fill_days":7,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":120000,"is_top_pay":false},"html_url":"https://alion.io/job/scispot-full-stack-ai-engineer","json_url":"https://alion.io/job/scispot-full-stack-ai-engineer.json","meta":{"generated_at":"2026-10-19T20:04:51Z","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":15899,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":179617},"rest":"https://alion.io/mcp/rest/get_company?id=179617"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fscispot-full-stack-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%2Fscispot-full-stack-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%2Fscispot-full-stack-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/scispot-full-stack-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fscispot-full-stack-ai-engineer"}]}