VP of Security & Infrastructure

Overview

In this role you will shape Flo’s AI-driven user experiences, building LLM-powered features that personalize content, enable conversational insights, and generate smart push notifications. You’ll work on latency, output quality, and safety in collaboration with cross-functional teams to deliver trusted health insights at scale. You’ll explore prompt design, health-domain models, and evaluation tooling within the AI Platform to ensure high-quality outputs. This is a mission-led, product-driven opportunity to advance private, clinically-backed digital health through innovative AI. You’ll join a fast-paced team that values craft, impact, and responsible AI.

Pay / Benefits

• competitive salary
• performance incentive scheme
• paid holiday and sick leave
• female health leave
• enhanced parental leave and pay
• 5-week sabbatical after 5 years

Responsibilities

• Build and ship LLM-powered features (personalization, in-app journeys, conversational insights, AI-generated push notifications)
• Improve latency and UX through streaming, pregeneration, and inference-time tradeoffs
• Iterate on prompts and model behavior with health-domain models and safety judges
• Enable A/B testing and evaluation gates to measure impact safely
• Contribute to synthetic data and evaluation datasets for feature support
• Support infrastructure work with Databricks, AWS, Terraform, and CI/CD as needed
• Collaborate with Product, Security, Analytics, Medical teams and external partners on pre-release capabilities

Key requirements

• 7+ years of software engineering experience
• hands-on building product features backed by LLMs
• experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, model serving
• strong Python and API/SDK experience for LLM calls and structured outputs
• product sensibility with emphasis on latency, tone, and AI output quality
• comfort with Databricks, AWS, Terraform, GitHub Actions
• experience collaborating with cross-functional teams
• familiarity with healthcare, safety-critical AI is a plus unknown

• cross-functional collaboration
• strong communication
• results-driven mindset
• LLM-powered feature development
• prompt engineering and calibration
• LLM evaluation and safety

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