Principal (AI) Artificial Intelligence Engineer

Request Technology, LLC; Chicago (IL); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Request Technology, LLC in Chicago seeks an AI research and engineering expert to lead hands-on work on agentic AI capabilities in a highly regulated financial environment.

You’ll define the AI technical roadmap, architect scalable systems that connect AI agents to enterprise workflows, and collaborate with AWS and Anthropic to leverage Claude models in production.

Qualifications

• Expert-level Python and SQL proficiency.
• Deep system design: distributed systems, microservices, APIs.
• Hands-on data engineering: pipelines, transformations, data modeling.
• AWS experience; comfortable with Docker, Kubernetes, CI/CD.
• Strong AI/LLM production experience or demonstrated hands-on passion.
• Knowledge of AI risk vectors: hallucinations, bias, privacy.
• 10+ years in software engineering and systems architecture; senior IC.

Responsibilities

• Define and execute AI technical roadmap, translating priorities into concrete architectural decisions.
• Lead agentic AI efforts: architect, build, and operate systems that connect AI agents to internal workflows.
• Leverage relationships with AWS and Anthropic to evaluate new model capabilities and tooling.
• Build and ship production AI applications on AWS using Claude and related tooling, with high reliability and security.
• Architect scalable systems that integrate LLMs and AI agents into internal processes, from design to production.

Skills

Python

SQL

System design

Data engineering

AI/LLM experience

Education

Bachelor's or Master's in Computer Science or related field

Tools

AWS

Docker

Kubernetes

CI/CD

Job description

Principal , (AI) Artificial Intelligence Engineering

LOCATION: Chicago, IL

Hybrid 3 days onsite

Looking for an AI research and engineering expert. Python SQL data engineering AI LLM, LLM powered applications

You won’t manage people; you’ll do the work, set the technical standard, and lead through expertise. You’ll be the primary driver of agentic AI capabilities, architecting and building the systems that connect AI agents to real enterprise workflows in one of the most consequential and carefully regulated environments in financial markets. Our team works directly with AWS and Anthropic, accessing Claude models through both.

If you’re a seasoned engineer who wants to stay hands‑on, lead through technical excellence, and build agentic AI systems that matter this role was written for you.

• Define and execute AI technical roadmap, translating organizational priorities into concrete architectural decisions
• Lead agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows
• Leverage direct relationships with AWS and Anthropic to evaluate and adopt new model capabilities and tooling as they become available
• Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability
• Architect scalable systems that integrate LLMs and AI agents into internal systems, operational workflows, and business processes, owning decisions from design through production deployment

Qualifications:

• Expert-level Python; proficient in SQL
• Deep system design expertise: distributed systems, microservices, event-driven architectures, APIs, and MCP servers
• Hands‑on experience with data engineering: pipelines, transformation, and data modeling
• AWS experience; comfort with Docker, Kubernetes, and CI/CD pipelines
• Strong production AI/LLM experience, or demonstrated hands‑on passion for the space with the engineering depth to ramp quickly
• Strong working knowledge of AI risk vectors: hallucinations, prompt injection, bias, data privacy, and output validation
• Bachelor's or Master's in Computer Science or a related technical field
• 10+ years of software engineering and systems architecture experience, with demonstrated technical leadership
• 5+ years as a senior individual contributor on complex, high‑stakes production systems