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Radixexperienced

AI Engineer

Chicago, Illinois, United States · New York, New York, United States

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
31 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation.

We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.

The Role

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 (utilizing RAG, semantic search, planning, and structured outputs)

Develop platform-level safeguards, including bespoke 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

About You

5+ years of overall technical experience, including 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 alongside solid software engineering principles and a 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) alongside deep practical skills in prompt engineering

Proven capability to evaluate and select foundational or open-weight models, balancing enterprise trade-offs across capability, context length, hosting, security, and cost

COMPENSATION – Competitive base salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

Original posting on Radixexperienced's site ↗

Listed on hirly, a job board. hirly is not the employer: Radixexperienced is hiring for this role.

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