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Lead Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Engineer (AI): Building, deploying, and supporting secure Enterprise AI products and GenAI capabilities with an accent on RAG, LLMs, MLOps, NLP, and cloud engineering. Focus on leading technical teams, designing AI-driven applications and ingestion pipelines, driving CI/CD maturity, and solving complex architecture and reliability challenges.

Location: UK - Hook; hybrid, with three days per week in the office

Company

hirify.global develops products and services that prevent and treat disease in farm animals and pets.

What you will do

  • Lead and mentor engineers while fostering psychological safety, curiosity, and creative problem-solving.
  • Define and execute the technical roadmap for Enterprise AI capabilities with Principal Engineers.
  • Build, deploy, support, and provide architectural oversight for secure, reliable AI-driven applications.
  • Establish engineering standards and improve coding, architecture, automated testing, CI/CD, incident management, and platform reliability.
  • Advise product teams on complex integrations and architectural decisions, resolving technical barriers with scalable solutions.
  • Lead technical Scrum ceremonies and ensure delivery of high-quality increments.

Requirements

  • Extensive experience leading the delivery and maintenance of complex software products in DevOps and Agile environments.
  • Deep practical experience with RAG, LLMs, MLOps, NLP, embeddings, and prompt engineering.
  • Expert proficiency in Python, React, and TypeScript.
  • Significant experience with GCP or Azure and Infrastructure as Code using Terraform.
  • Experience designing data-processing and document-ingestion pipelines, such as Vertex AI, Google Cloud Fusion, or Azure Data Factory.
  • Strong knowledge of SDLC, API-centric design, Twelve-Factor App principles, authentication, authorization, and secure-by-design practices.

Nice to have

  • Ability to translate emerging AI research and trends into practical business solutions.
  • Ability to explain complex technical topics to technical and non-technical stakeholders.

Culture & Benefits

  • Work in a diverse and inclusive environment focused on innovation and new ways of thinking.
  • Collaborate with teams across different time zones.
  • Travel requirement: 0%.
  • Recruitment decisions involve human review alongside automated tools used to support application evaluation.

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