Artificial Intelligence Engineer

I’m partnering with a leading quantitative investment firm that is building a new Institutional AI engineering team focused on delivering high-impact, production-grade AI solutions across the business.

This team will design and deploy AI-powered applications that solve real operational and research challenges, working closely with quantitative researchers, trading teams, and business stakeholders. The focus is on practical deployment of Large Language Models and Generative AI in real-world production environments.

You will play a key role in architecting and delivering AI-driven applications from concept through to production. This is not a research-only role - the emphasis is on building scalable, reliable systems that create measurable impact.

Responsibilities include

• Collaborating with cross-functional, globally distributed teams
• Gathering requirements, defining technical specifications, and owning delivery
• Designing and building scalable AI-powered products
• Integrating and deploying Large Language Models into production workflows
• Developing systems leveraging vector databases and modern data architectures
• Staying current with rapid advancements in AI, LLMs, and Generative AI

What They’re Looking For

• Strong software engineering fundamentals with excellent Python skills
• Hands-on experience building applications using LLMs and Generative AI
• Strong understanding of how language models work and how to productionize them
• Experience with vector databases and retrieval-augmented generation architectures
• Familiarity with modern data infrastructure (SQL, Redis, Kafka or similar technologies)
• Strong analytical mindset and ability to solve complex technical problems
• Excellent communication skills and collaborative approach
• High ownership mentality with a strong delivery focus

Finance experience is not required.

If you’re interested in building real-world AI systems in a high-performance environment, feel free to message me directly for more details.