AI Engineer

The role

You will build and accelerate the firmwide AI ecosystem and infrastructure. You will design, deploy, and evaluate production-grade AI applications and advanced agentic workflows.

What you will do

• Build and accelerate the firmwide AI ecosystem and infrastructure to support AI-native systems and tooling
• Identify workflow opportunities for developers and researchers to introduce AI-first systems and automation
• Design, deploy, and evaluate production-grade AI applications and advanced agentic workflows
• Develop platform-level safeguards, including evaluation harnesses, guardrails, approval workflows, tool-use limits, source attribution, and kill switches
• Optimize core metrics across agent systems, focusing on reasoning quality, retrieval accuracy, latency, cost, safety, and user experience

Required qualifications

• 5+ years of overall technical experience
• 2+ years of hands-on experience designing and building Generative AI/LLM applications in production
• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related technical field
• Strong proficiency in Python
• Solid software engineering principles
• Deep understanding of the full AI/ML lifecycle (data prep through observability)
• Expert familiarity with agentic frameworks and modern AI orchestration and development tools (e.g., LangChain, LangGraph, AutoGen, LlamaIndex)
• Deep practical skills in prompt engineering
• Proven capability to evaluate and select foundational or open-weight models

Benefits

• Competitive base salary
• Quarterly bonus based on individual performance and contribution towards success of others and the firm

About the company

radixexperienced leverages cutting-edge software and hardware to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure.