{"id":4172601,"url":"https://alion.io/job/apoha-full-stack-software-engineer","title":"Full Stack Software Engineer","company":{"id":670874,"name":"Apoha","domain":"apoha.com","url":"https://alion.io/company/apoha","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"AWS","optional":true},{"name":"Django","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"GitHub","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-12T12:07:09Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T15:09:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Apoha\nAt Apoha, we are unlocking the missing layer of molecular science. Sequences told us what a molecule is. Structures showed us what a molecule looks like. But molecular behaviour, the layer that determines whether a drug works, a formulation holds, or a material performs, has remained largely elusive. Until now.\nApoha has invented the world's first platform to resolve States, the third fundamental data class of molecular science. We call this new paradigm Liquid State Intelligence, capturing the complete behavioural state of matter, molecules, and materials under real-world conditions, using as little as 8µg of sample. The data we generate is something no simulation, no model, and no amount of compute can reproduce.\nOur investors include Singular, Draper Associates, Redalpine, Seedcamp, Nucleus Capital, Plug and Play, Wilbe-and we’re just getting started.\nThe Role\nWe're hiring a Full Stack Software Engineer who builds fast, learns faster and treats AI as a core part of how they work. You'll work across every part of our software stack: state-of-the-art instrument control software, data infrastructure, security, the customer experience and more. You'll own problems end-to-end and ship them to production.\nThere is no fixed tech stack to know on day one. What matters is that you can drop into an unfamiliar codebase, use AI tools to get up to speed in hours rather than weeks, and deliver working software in days. Problems here often arrive half-defined; you'll be expected to shape them, make a call and iterate.\nThis role is not for you if you want a narrow lane, detailed specs before starting, or a slow, process-heavy pace.\nWhat you'll work on\nYou'll move across the whole software stack behind our Liquid State intelligence platform, often in the same week:\nInstrument control software: the software that orchestrates our Liquid State Intelligence systems, coordinating many hardware modules, from in-house instruments to off-the-shelf pumps, sensors and controllers, with real-time control, drivers and testing on real hardware.\nData infrastructure: pipelines that turn raw instrument data into analysis-ready datasets in the cloud, plus the APIs and databases behind them.\nSecurity: access control, secrets, infrastructure hardening and keeping customer data safe.\nUI and product: one of the hardest parts of the stack: user experiences built for scientists and researchers that give them deep flexibility while staying clean and simple to use.\nAgentic AI tools: super-charged, agentic AI-driven automations and integrations that connect our systems and multiply what everyone can do.\nIn your first 90 days, you'll ship to production in your first two weeks and own at least one feature end-to-end, from scoping with scientists to release.\nWho You Are\nMust have\n4+ years building and shipping software, across front end, back end, APIs and databases.\nAI-native workflow: you use tools like Claude Code, Cursor or Copilot daily to plan, build, test and review, and most importantly you know when not to trust their output.\nA track record of shipping fast: you can point to things you took from idea to working product quickly, and explain the trade-offs you made and the limitations you knowingly accepted to get there.\nComfort with ambiguity: you turn vague problems into clear plans without waiting to be told.\nRelentless drive and ownership: you care whether it works in production, not just whether the PR merged.\nClear written communication with engineers, scientists and customers.\nNice to have (none required; we care about mindset over stack)\nPython, TypeScript, React/Next.js, Django or FastAPI, PostgreSQL\nAWS, Docker/Kubernetes, infrastructure-as-code\nSoftware that talks to hardware: instruments, robotics, lab or IoT devices. If you have built using Arduino, Raspberry Pi or alike in any capacity let us know!\nSecurity engineering or data pipeline experience\nCuriosity about science and biology\nRequired: show us what you've built\nWe are hiring for a builder with high agency, so we want to see your work. Applications without at least one of the following will not be reviewed:\nA GitHub profile with projects you built yourself\nMerged contributions to open-source projects\nA live product, app, tool or side project we can use, with a short note on your role\nFor your strongest one or two projects, tell us in a few sentences: what problem it solves, what you built personally, how long it took, and how you used AI to build it. Small and scrappy is fine. Shipped and used beats polished and unfinished.\nWork you can't share publicly? Describe it, and add something personal we can look at.\nWhat We Offer\nCompetitive compensation + stock options\nPrivate health insurance\nRegular socials\nThe rare chance toshape the DNA of a company\nAccess to cutting-edge science, a stellar team, and the chance to change the game\nHow to apply\nWe've designed a short interactive challenge to kick off your application. It takes a few minutes if you're the person we're looking for.\nApply via the form below.\nSend an empty POST request to api/v2/external-tests/hello-apoha at https://api-v2.test.app.apoha.com\nFollow the instructions in the response to submit your CV and your project links through the API.\nUsing AI to work it out is fine; that's how we work here too. Applications that don't come through the API won't be reviewed.\nAt Apoha, we are committed to fostering a diverse and inclusive workplace. 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