Назад
14 дней назад

AI Forward Deployed Engineer (GenAI)

Формат работы
onsite
Тип работы
fulltime
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
AI Forward Deployed Engineer (GenAI): Developing and productionizing first-of-its-kind GenAI applications for customers with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production-grade deployment. Focus on owning customer rollouts, evaluating and optimizing AI systems, advising technical stakeholders, and shaping product priorities with engineering and product teams.

Location: London, United Kingdom

Company

Databricks provides a unified Data + AI Platform for building and scaling data, analytics, and AI applications.

What you will do

  • Develop cutting-edge GenAI solutions using the latest AI research techniques to solve customer problems.
  • Own production rollouts of consumer-facing and internally facing GenAI applications.
  • Act as a trusted technical advisor to customers across multiple domains.
  • Present at conferences and build thought leadership internally and externally.
  • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Experience building GenAI applications with RAG, multi-agent systems, Text2SQL, fine-tuning, HuggingFace, LangChain, or DSPy.
  • Expertise in deploying, evaluating, and optimizing production-grade GenAI applications.
  • Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
  • Experience deploying production-grade machine learning solutions on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline or equivalent practical experience.
  • Ability to communicate or teach technical concepts to technical and non-technical audiences; willingness to travel to customers once every 4–8 weeks as needed.

Nice to have

  • Experience with the Databricks Intelligence Platform and Apache Spark for processing large-scale distributed datasets.

Culture & Benefits

  • Collaborative AI team working cross-functionally with engineering, product, developer relations, and subject matter experts.
  • Opportunities for continuous learning and work on the latest GenAI, LLMOps, and machine learning trends.
  • Comprehensive employee benefits and region-specific perks.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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