7 дней назад
AI Forward Deployed Engineer (GenAI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
AI Forward Deployed Engineer (GenAI): Developing and productionizing customer-facing GenAI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on evaluating and optimizing AI systems, advising customers across domains, and shaping product priorities through cross-functional collaboration.
Location: London, United Kingdom; travel to customers once every 4–8 weeks as needed.
Company
Databricks provides a unified Data + AI Platform for building and scaling data, AI applications, analytics, and agents.
What you will do
- Develop cutting-edge GenAI solutions using techniques from Databricks AI research 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 such as Data + AI Summit and build thought leadership internally and externally.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- At least 4 years of experience in data science, machine learning, or AI.
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, or fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
- Expertise in deploying production-grade GenAI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience with tools such as pandas, scikit-learn, and PyTorch.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Experience communicating or teaching technical concepts to both technical and non-technical audiences.
- Passion for collaboration, lifelong learning, and driving business value through AI.
Nice to have
- Experience with the Databricks Intelligence Platform and Apache Spark for processing large-scale distributed datasets.
Culture & Benefits
- Customer-facing AI work with cross-functional collaboration across engineering, product, developer relations, and subject matter expert teams.
- Comprehensive employee benefits and perks, with details varying by region.
- Inclusive culture and equal employment opportunity standards.
- Customer travel is required once every 4–8 weeks as needed.
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