AI Applied Engineer

About the Role

My client is looking for an Applied AI Engineer to help identify, build, and deploy practical AI solutions across the organization. This individual will partner closely with engineering teams, business stakeholders, and end users to transform AI capabilities into scalable, production-ready tools that enhance trading, research, and operational processes.

This is a highly hands-on role focused on execution and delivery. The ideal candidate will own the full lifecycle of AI initiatives, from evaluating opportunities and developing prototypes to deploying, optimizing, and maintaining solutions in production. We are looking for candidates with technical depth in infrastructure components (cloud infra, APIs, etc.) as well as AI. It’s crucial that candidates can show end to end ownership and be hands on.

Success in this position requires someone who can bridge technical expertise, and business needs to create impactful AI-driven workflows that improve efficiency and streamline operations.

Qualification:

• 2+ years of hands-on experience building and deploying AI-powered applications
• Proficiency in Python
• Experience building applications using LLMs and AI APIs (e.g., OpenAI, Anthropic)
• Experience with evaluating and fine-tuning closed models
• Demonstrated ability to build and ship AI-driven tools or workflows
• Experience deploying applications (AWS, Azure, GCP, VM environments, or similar)
• Ability to independently build, deploy, and maintain internal tools

Plusses:

• Bachelor’s degree in a technical, analytical, or creative field