Principal Artificial Intelligence LLM Engineer

23 hours ago


Chicago IL, United States Request Technology, LLC Full time

This role is 3 days onsite each week in Chicago, hybrid remote******We are unable to provide sponsorship for this permanent full-time role in Chicago***
***Position is bonus eligible***
Prestigious Financial Institution is currently seeking a Principal Artificial Intelligence Engineer with strong LLM experience Candidate will be a technical leader who will lead through expertise and ensure the technical success of the team's work. The position requires a seasoned engineer with strong software engineering experience, technical leadership skills, and foundational knowledge of AI/LLMs with a keen interest in applying these technologies to financial infrastructure. You will play a key role in executing the AI roadmap while mentoring a team of talented junior engineers in driving organizational transformation. As a team leaning into emerging technology, we also support continuous growth and learning by providing time for experimentation with AI tools and technologies.
Partner with the Executive Director, AI Engineering to help define and execute on the AI technical roadmap
Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure
Design and build production applications in support of organizational use cases
Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports)
Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment
Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment
Connect AI agents to organizational systems and workflows
Foster continuous learning culture in a rapidly evolving AI landscape
Bachelor's or Master's in Computer Science or related technical field
10+ years software engineering/systems architecture experience with strong technical leadership
Expert in Python and proficient in SQL
Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)
Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy
Strong interest in AI/LLM space with demonstrated commitment to continuous learning
Production experience with AI applications or LLM-powered systems
Experience with RAG architectures and context engineering
Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD
Experience in financial market infrastructure or derivatives industry



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