At a Glance
- Tasks: Join our AI Platform team to develop innovative AI-driven features for the world's #1 health app.
- Company: Flo, a leading health & fitness app with over 500M downloads and a mission for female health.
- Benefits: Competitive salary, performance incentives, generous leave policies, and a 5-week sabbatical after 5 years.
- Other info: Collaborative, fast-paced environment focused on meaningful work and professional growth.
- Why this job: Make a real impact on women's health while working with cutting-edge AI technology.
- Qualifications: 7+ years in software engineering with strong LLM and product feature experience.
The predicted salary is between 78750 - 96250 £ per year.
500M+ downloads. 80M+ 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 7M 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.
We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it.
What you’ll do
- Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets.
- Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users.
- Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality.
- Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact.
- Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building.
- Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it.
- Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features.
Experience and skills
Must have:
- 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs.
- Experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving.
- Strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs.
- Product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users.
- Comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required.
Nice to have:
- LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation).
- Prompt optimisation frameworks (DSPy or similar).
- Feature stores or personalization/ranking experience (relevant to in-app content recommendation work).
- Healthcare, regulated-industry, or safety-critical AI systems experience.
- Data engineering fundamentals (Spark, Delta tables, Parquet).
Annual Salary Range (ranges may vary based on skills and experience): £200,000 - £220,000 GBP.
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
- 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.
- In-person collaboration and work in a hybrid model, with 3 days per week spent in the office.
- 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.
VP of Security & Infrastructure in London employer: Flo Health
Flo is an exceptional employer that champions a mission-driven culture focused on improving women's health through innovative technology. With competitive salaries, generous leave policies, and a commitment to professional growth, employees thrive in a supportive environment that values diversity and collaboration. The opportunity to work at the forefront of digital health in a dynamic, fast-paced setting makes Flo a truly rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land VP of Security & Infrastructure in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Flo Health or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Flo Health.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Flo Health.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Flo Health that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace VP of Security & Infrastructure in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Flo Health.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Flo Health and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Flo Health
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Flo Health uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.