At a Glance
- Tasks: Join our AI Platform team to develop features for user personalisation and AI capabilities.
- Company: Flo, the world's #1 health & fitness app, focused on female health.
- Benefits: Competitive salary, flexible working, paid sabbaticals, and enhanced parental leave.
- Why this job: Make a real impact in digital health while working with cutting-edge AI technology.
- Qualifications: 7+ years in backend systems, fluent in Scala, Java, or Python, and strong AWS experience.
- Other info: Dynamic, mission-driven environment with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
500M+ downloads. 77M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 6M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job: Join the AI Platform team as we build the backbone of Flo’s personalization. We are looking for a Backend Engineer to own the User Profile service—a high-scale system (20k RPS). You will operate in a hybrid model: building core capabilities for AI/ML data representations while governing an inner-source ecosystem that allows other teams to contribute safely. If you are passionate about high-concurrency systems and enabling AI at scale, we want to hear from you!
What you’ll be doing:
- Develop new features for the User Profile service – the central platform that powers personalization, experimentation, and AI features including Flo Conversational AI.
- Build User Profile 2.0 capabilities including historical data arrays, AI-ready attribute representations, and integration with ML feature stores.
- Design and implement data pipelines that deliver user attributes to AI/ML systems for personalized content generation and predictive models.
- Enable inner-source contributions: establish contribution guidelines, quality gates, and architectural standards for product teams.
- Review and approve pull requests from contributing teams, providing mentorship and ensuring code quality.
- Maintain architectural oversight of core components while enabling safe, autonomous contributions from product teams.
- Build and maintain attribute governance frameworks, cataloguing systems, and documentation standards.
- Ensure compliance with healthcare regulations (HIPAA, SOC 2, GDPR) and implement privacy-first design patterns.
- Participate in on-call rotation and drive incident response for this critical platform service.
- Work in a cross-functional setup alongside other engineering teams (Backend, ML, QA), product, and analytics teams.
Your Experience:
Must have:
- 7+ years of professional experience building distributed backend systems at scale.
- Fluency in Scala, Java, or Python – with willingness to work primarily in Scala (we’ll support your ramp-up if needed).
- Deep experience with AWS services, particularly DynamoDB, EKS, and serverless architectures.
- Strong understanding of observability – logging, metrics, tracing, and alerting – and how to use it to drive operational excellence.
- Experience building high-throughput, low-latency APIs serving millions of users.
- Solid understanding of databases (SQL and NoSQL) and experience designing APIs that prioritise reliability and performance.
- Experience with code review, mentorship, and establishing engineering standards across teams.
- Track record of writing clean, documented, version-controlled code.
- Ownership mentality – you take initiative, don’t wait to be told, and see problems through to resolution.
- Strong communication skills – you can collaborate effectively with multiple teams and explain technical decisions clearly.
Nice to have:
- Experience with ML infrastructure, feature stores, or data platforms that serve AI/ML workloads.
- Familiarity with data pipelines and integration patterns for machine learning systems.
- Experience with inner-source or open-source contribution models and governance.
- Experience with platform/infrastructure teams supporting multiple product teams.
- Healthcare compliance framework experience (HIPAA, SOC 2, GDPR).
- Feature flagging, A/B testing, or experimentation platform experience.
- Experience in the MedTech or HealthTech domain.
- Experience at a Tier-1 product company or related experience working within a product organisation.
How we work: We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you’ll get: We support impact with meaningful reward. Here’s what that looks like:
- Competitive salary and annual reviews.
- Opportunity to participate in Flo’s performance incentive scheme.
- Paid holiday, sick leave, and female health leave.
- Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents.
- Accelerated professional growth through world-changing work and learning support.
- Flexible office + home working, up to 2 months a year working abroad.
- 5-week fully paid sabbatical at 5-year Floversary.
- Flo Premium for friends & family, plus more health, pension and wellbeing perks.
Diversity, equity and inclusion: Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities.
Backend Engineer - AI platform in London employer: Femtech Insider Ltd.
Contact Detail:
Femtech Insider Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - AI platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend systems or AI. This gives employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so get comfortable explaining your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to improve female health through tech.
We think you need these skills to ace Backend Engineer - AI platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Backend Engineer role. Highlight your experience with distributed backend systems, AWS services, and any relevant programming languages like Scala or Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building AI-powered health solutions. Share specific examples of your past work that demonstrate your ownership mentality and ability to collaborate across teams.
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical expertise. Mention your experience with high-throughput APIs, observability practices, and any healthcare compliance frameworks you've worked with.
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 keen on joining our mission-driven team!
How to prepare for a job interview at Femtech Insider Ltd.
✨Know Your Tech Stack
Make sure you’re well-versed in Scala, Java, or Python, especially Scala since that’s the primary language they use. Brush up on your knowledge of AWS services like DynamoDB and EKS, as well as serverless architectures. Being able to discuss your experience with these technologies confidently will show you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled high-concurrency systems or built high-throughput APIs. They want to see your ownership mentality, so think of instances where you took initiative to resolve issues or improve processes. This will demonstrate your proactive approach and ability to drive operational excellence.
✨Understand Compliance and Governance
Familiarise yourself with healthcare regulations like HIPAA, SOC 2, and GDPR. Be ready to explain how you’ve implemented privacy-first design patterns in past projects. This knowledge is crucial for the role, and showing that you understand the importance of compliance will set you apart from other candidates.
✨Communicate Effectively
Since collaboration is key in this role, practice explaining technical concepts clearly and concisely. Think about how you can convey complex ideas to non-technical team members. Good communication skills will not only help you during the interview but also in your future role within the cross-functional teams.