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3 часа назад

VP of Security & Infrastructure

200 000 - 220 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
VP of Security & Infrastructure (AI): Building and shipping LLM-powered health features, including personalized content recommendations, conversational insights, and AI-generated mobile notifications, with an accent on product quality, safety, latency, and evaluation. Focus on designing model behavior, enabling experimentation and structured outputs, and contributing to Databricks, AWS, Terraform, and CI/CD infrastructure.

Location: London; hybrid model with 3 days per week in the office

Annual salary: £200,000–£220,000 GBP

Company

Flo is a digital health product company building an AI-powered, privacy-first and clinically backed health and fitness app for female health.

What you will do

  • Build and ship LLM-powered product features, including personalized in-app recommendations, custom user journeys, conversational insights, charts, widgets, and AI-generated mobile push notifications.
  • Improve perceived and actual response latency through streaming, pre-generation, and inference-time trade-offs.
  • Iterate on prompts and model behavior using fine-tuned health-domain models such as Llama, Gemma, and MedGemma.
  • Enable A/B testing, evaluation gates, synthetic Q&A generation, golden test sets, and evaluation datasets.
  • Contribute to Databricks, AWS EKS, Terraform, and CI/CD initiatives.
  • Collaborate with Product, Security, Analytics, Medical teams, and technology partners including Databricks, Google, OpenAI, Anthropic, and AWS.

Requirements

  • 7+ years of software engineering experience, including recent hands-on work building product features backed by LLMs.
  • Experience with prompt engineering, LLM evaluation, fine-tuning, or model serving.
  • Strong Python skills and experience with APIs or SDKs for LLM calls, prompt templates, and structured outputs.
  • Track record of shipping user-facing features with attention to latency, tone, and AI output quality.
  • Ability to learn and use infrastructure tools such as Databricks, AWS, Terraform, and GitHub Actions.

Nice to have

  • Experience with LLM evaluation frameworks, judges, graders, calibration, or fine-tuning methods such as LoRA, RLHF/DPO, and model distillation.
  • Experience with DSPy or similar prompt optimization frameworks.
  • Feature stores, personalization, or ranking experience.
  • Healthcare, regulated-industry, or safety-critical AI experience.
  • Data engineering fundamentals including Spark, Delta tables, and Parquet.

Culture & Benefits

  • Mission-led, product-driven environment focused on ownership, craft, experimentation, and purposeful delivery.
  • Competitive salary, annual reviews, and participation in a performance incentive scheme.
  • Paid holiday, sick leave, female health leave, and enhanced parental leave and pay.
  • Professional growth through learning support and work on digital health products.
  • Five-week paid sabbatical after five years, plus Flo Premium, health, pension, and wellbeing benefits.

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