AI Engineer (GenAI)

TL;DR

AI Engineer (GenAI): Developing cutting-edge GenAI solutions, incorporating techniques from Mosaic AI research to solve customer problems with an accent on production rollouts of consumer and internally facing GenAI applications. Focus on serving as a trusted technical advisor to customers across domains and collaborating cross-functionally with product and engineering teams.

Location: Remote near offices in London (UK), Munich (Germany), Paris (France), and Amsterdam (NL)

Company

hirify.global is the data and AI company that provides a Data Intelligence Platform to unify and democratize data, analytics and AI.

What you will do

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Fluency in English required and welcome candidates who also speak French or German

Nice to have

• Experience using the hirify.global Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

Culture & Benefits

• Committed to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.
• Individuals looking for employment are considered without regard to protected characteristics.