At a Glance
- Tasks: Build and own the core data annotation and workflow platform for AI evaluation.
- Company: Aptura, a fast-paced London-based tech team shaping AI in critical industries.
- Benefits: Competitive salary, equity, and the chance to work on impactful projects.
- Other info: Dynamic environment with opportunities for rapid growth and ownership.
- Why this job: Make a real difference in how AI learns and operates in regulated fields.
- Qualifications: Experience with software development, AI tools, and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
About Aptura
We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you.
About the Role
As a Member of Technical Staff on our Software Engineering team, you will build the platform that powers how Aptura operates and scales — the annotation tooling, workflow systems, quality control pipelines, and internal infrastructure that sit behind every dataset and environment we ship.
Day to day, that looks like:
- Designing expert task creation flows
- Building task assignment and review interfaces
- Writing the data pipelines that move outputs from domain experts into structured training sets
- Integrating LLM-powered tooling directly into the product
Some days it’s product engineering. Some days it’s closer to infrastructure. The common thread is that the software you build is what lets a small team produce high-quality evaluation data at scale. You'll be the person who makes the platform real. Decide what gets built, how it gets built, and set the standard for how we build as we grow.
What You’ll Do
- Build and own the core data annotation and workflow platform end to end — from task assignment and expert interfaces to quality control and dataset delivery
- Design systems that support expert onboarding, task routing, review workflows, and QA at scale
- Build and improve AI-integrated pipelines across the platform, including LLM‐assisted annotation, automated checking, and model‐in‐the‐loop workflows
- Work directly with founders and domain operators to turn manual, bespoke processes into reliable, scalable software
- Make strong product and engineering decisions in ambiguous, fast‐moving situations — scoping, prioritising, and shipping without waiting for perfect specs
- Help define how we build as a team: tooling choices, engineering standards, and product direction
Who We’re Looking For
You will not be a good fit if you thrive in well‐defined scopes and prefer a clear spec before moving. We are looking for people who are comfortable identifying what needs building, making a call, and shipping — often before the full picture is clear.
You will not be a good fit if you like to go deep on one technical area for an extended period. We are looking for people who are energised by moving across product, infrastructure, data systems, and AI tooling — sometimes all in the same week.
You will not be a good fit if you prefer to hand work off at the boundaries of your role. We are looking for people who want to own problems end to end, from the first conversation through to something live.
You will not be a good fit if you’re not yet integrating AI into how you build day to day. We are looking for people who are already using LLMs and coding agents as part of how they work, and are excited to push that further.
You will not be a good fit if you think of speed and quality as things you trade off against each other. We are looking for people who don’t cut corners — they cut scope.
We don’t care about background, experience, or prestige. We want people who can demonstrate they will work hard, learn fast, and ship things that matter. Former founders, early engineers at startups, and people with infrastructure experience are a plus.
Nice to Have
- Experience building internal tools, annotation platforms, workflow software, or operations‐heavy products
- Familiarity with modern product stacks: React, Next.js, TypeScript, Node.js, FastAPI, or similar
- Exposure to AI products, LLM tooling, or evaluation workflows
- Domain interest in finance, healthcare, or legal
- Previous experience as an early or founding engineer
On‐site in London. Compensation (salary + equity) will be competitive.
Member of Technical Staff (SWE/Product) in London employer: Aptura
Aptura is an exceptional employer that thrives on innovation and collaboration, making it an ideal place for aspiring professionals to grow. Located in the vibrant Liverpool Street area, we offer a dynamic work culture that values high agency and teamwork, providing interns with hands-on experience in sourcing operations while contributing to meaningful projects in AI. With a focus on employee development and a fast-paced environment, Aptura empowers you to take ownership of your role and make a real impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (SWE/Product) in London
✨Tip Number 1
Get to know the company inside out! Research Aptura's projects and values, and think about how your skills can contribute. This will help you stand out in conversations and show that you're genuinely interested.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant skills. Practice coding challenges and be ready to discuss your past projects. Show them you can think on your feet and adapt quickly!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Aptura.
We think you need these skills to ace Member of Technical Staff (SWE/Product) in London
Some tips for your application 🫡
Show Your Initiative:We love it when candidates take the initiative! Make sure your application reflects your proactive nature. Share examples of how you've taken ownership in past projects or roles, especially in fast-paced environments.
Tailor Your Application:Don’t just send a generic CV and cover letter. We want to see how your skills align with what we do at Aptura. Highlight your experience with AI, software engineering, and any relevant tools that match our tech stack.
Be Clear and Concise:When writing your application, clarity is key. We appreciate straightforward communication, so keep your language simple and to the point. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Aptura
✨Understand the Role Inside Out
Before your interview, make sure you thoroughly understand what being a Member of Technical Staff at Aptura entails. Familiarise yourself with their focus on AI reliability in finance, healthcare, and legal sectors. Be ready to discuss how your skills can contribute to building the core data annotation and workflow platform.
✨Showcase Your Initiative
Aptura values initiative and ownership, so come prepared with examples of how you've taken charge of projects in the past. Highlight instances where you identified problems, made decisions, and delivered results without waiting for perfect specifications. This will demonstrate that you're a good fit for their fast-paced environment.
✨Be Ready to Discuss AI Integration
Since the role involves integrating AI into workflows, be prepared to talk about your experience with LLMs and coding agents. Share specific examples of how you've used these technologies in your previous work and how you envision pushing this further at Aptura.
✨Emphasise Your Versatility
Aptura is looking for someone who thrives in ambiguity and enjoys moving across different technical areas. Prepare to discuss your adaptability and how you've successfully navigated various roles or projects, especially those that required a mix of product engineering and infrastructure work.
