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3 часа назад

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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TL;DR

Lead Engineer (AI): Advancing modern technology stack by building, deploying, and supporting cutting-edge GenAI capabilities for enterprise AI solutions with an accent on secure, reliable, and innovative AI integrations. Focus on leading technical roadmap, architectural oversight, and driving CI/CD maturity for high-availability AI products.

Location: UK - Hook (Hybrid - Three days per week in the office). Experience working across different time zones is required.

Company

Global leader in animal health (NYSE: ELAN) dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

What you will do

  • Lead and inspire a team of engineers, fostering psychological safety, curiosity, and creative problem-solving.
  • Partner with Principal Engineers to define and execute the strategic technical roadmap for AI capabilities.
  • Establish engineering standards, drive technical excellence, and champion best practices in coding, architecture, and testing.
  • Act as technical consultant for product teams on integrations and architectural decisions.
  • Oversee build and run responsibilities for Enterprise AI products, ensuring high availability and incident management.
  • Mentor Senior and Software Engineers, lead Scrum ceremonies, and resolve complex technical barriers.

Requirements

  • Proven track record leading delivery and maintenance of complex software products in DevOps and Agile environments.
  • Deep practical experience with RAG, LLMs, and MLOps.
  • Expert-level understanding of NLP, Embeddings, and Prompt Engineering.
  • Expert proficiency in Python, React, and TypeScript.
  • Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).
  • Experience designing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, Azure Data Factory).
  • Deep understanding of SDLC, API-Centric Design, Twelve-Factor App principles, authentication/authorization, and secure-by-design.
  • Proven experience mentoring engineers and leading technical teams.

Nice to have

  • Passion for AI and ability to translate emerging research into practical business solutions.
  • Exceptional ability to articulate complex technical topics to technical and non-technical stakeholders.

Culture & Benefits

  • Fostering a diverse and inclusive work environment that values new ways of thinking and dynamic collaboration.
  • Opportunities to acquire new skills and experiences to propel career growth.
  • Driven by vision of Food and Companionship Enriching Life and purpose to Go Beyond for Animals, Customers, Society, and People.

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