Example Company

Software engineer

Location: San Francisco
Type: Full time
Compensation: $150k-$200k
Posted: 2 days ago

Join a team building useful software. Work closely with engineering and design to turn new ideas into products.

Full Stack Software Engineer

Location

London

Type

Full time

Posted

3H AGO

About the role

About Apoha

At 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.

Apoha 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.

Our investors include Singular, Draper Associates, Redalpine, Seedcamp, Nucleus Capital, Plug and Play, Wilbe—and we’re just getting started.

The Role

We'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.

There 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.

This role is not for you if you want a narrow lane, detailed specs before starting, or a slow, process-heavy pace.

What you'll work on

You'll move across the whole software stack behind our Liquid State intelligence platform, often in the same week:

Instrument 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.
Data infrastructure: pipelines that turn raw instrument data into analysis-ready datasets in the cloud, plus the APIs and databases behind them.
Security: access control, secrets, infrastructure hardening and keeping customer data safe.
UI 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.
Agentic AI tools: super-charged, agentic AI-driven automations and integrations that connect our systems and multiply what everyone can do.

In 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.

Who You Are

Must have

4+ years building and shipping software, across front end, back end, APIs and databases.
AI-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.
A 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.
Comfort with ambiguity: you turn vague problems into clear plans without waiting to be told.
Relentless drive and ownership: you care whether it works in production, not just whether the PR merged.
Clear written communication with engineers, scientists and customers.

Nice to have (none required; we care about mindset over stack)

Python, TypeScript, React/Next.js, Django or FastAPI, PostgreSQL
AWS, Docker/Kubernetes, infrastructure-as-code
Software 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!
Security engineering or data pipeline experience
Curiosity about science and biology

Required: show us what you've built

We 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:

A GitHub profile with projects you built yourself
Merged contributions to open-source projects
A live product, app, tool or side project we can use, with a short note on your role

For 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.
Work you can't share publicly? Describe it, and add something personal we can look at.

What We Offer

Competitive compensation + stock options
Private health insurance
Regular socials
The rare chance to shape the DNA of a company
Access to cutting-edge science, a stellar team, and the chance to change the game

How to apply

We'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.

Apply via the form below.
Send an empty POST request to api/v2/external-tests/hello-apoha at https://api-v2.test.app.apoha.com
Follow the instructions in the response to submit your CV and your project links through the API.

Using 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.

At Apoha, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech and science.