VP of Security & Infrastructure at Flo Health | GB | Rezi

VP of Security & Infrastructure at Flo Health

VP of Security & Infrastructure

Flo Health · GB

2 weeks ago

VP of Security & Infrastructure

Flo Health · GB

16 days ago
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About the Role

Flo is seeking a Senior AI Engineer with strong LLM and product engineering experience to develop AI-driven features. You will focus on the product-facing behavior of GenAI features, including relevance, quality, latency, and safety, utilizing platform tools and contributing to infrastructure as needed.

Responsibilities

  • Build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations, custom user journeys, and conversational AI-powered insights with structured output.
  • Reduce response latency through streaming, pregeneration, and inference-time tradeoffs, collaborating with product and design on user experience.
  • Iterate on prompt design and calibration, utilize fine-tuned health-domain models, and ensure output safety and quality with the Judge-as-a-Service ecosystem.
  • Enable A/B testing for model and prompt changes, using evaluation gates for safe deployment and impact measurement.
  • Contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design.
  • Contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as required.
  • Collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners on pre-release capabilities.

Requirements

  • 7+ years of software engineering experience, 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 skills and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs.
  • Product sensibility with a track record of shipping user-facing features, focusing on latency, tone, and quality of AI output.
  • Comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed.
  • Experience with LLM evaluation frameworks or fine-tuning techniques.
  • Experience with prompt optimization frameworks (DSPy or similar).
  • Experience with feature stores or personalization/ranking.
  • Experience in healthcare, regulated industries, or safety-critical AI systems.
  • Data engineering fundamentals (Spark, Delta tables, Parquet).

Skills

  • LLM
  • Product Engineering
  • GenAI
  • Prompt Engineering
  • LLM Evaluation
  • Fine-tuning
  • Model Serving
  • Python
  • APIs
  • SDKs
  • Databricks
  • AWS
  • Terraform
  • GitHub Actions
  • DSPy
  • Spark
  • Delta tables
  • Parquet

Location

  • Remote
  • Hybrid

Work Type

  • Hybrid

Experience Level

  • Senior
  • 7+ years

Salary/Compensations

  • £200,000—£220,000 GBP

Benefits

  • 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

About the Company

  • Flo has over 500M+ downloads and 80M+ monthly users, with a mission to build a better future for female health.
  • Backed by a $200M investment, Flo achieved a $1B valuation in 2024.
  • With 7M paid subscribers, Flo offers the highest-rated experience in the App Store’s health category.
  • The company is building the next generation of digital health, focusing on AI-powered, privacy-first, clinically backed solutions.

Equal Opportunity

  • Hiring is based on merit, skill and what you bring to the role – nothing else.
  • Flo is a proud equal opportunity employer, welcoming applicants from all backgrounds, communities and identities.