Principal Artificial Intelligence Engineer

Request Technology, LLC; Chicago (IL); Hybrid; USD 210,000 - 260,000; Full time

Job summary

Request Technology, LLC is seeking a seasoned AI Architect to define and drive the AI technical roadmap, aligning with executive priorities. You will architect and operate agentic AI systems that connect AI agents to internal data pipelines and business workflows, leveraging AWS and Anthropic tooling.

The role requires deep experience with LLMs, distributed systems, and enterprise-grade safety standards, in a hybrid environment.

Qualifications

• Bachelor's or Master's in Computer Science or related field.
• 10+ years of software engineering and systems architecture with leadership.
• 5+ years as senior individual contributor on complex production systems.
• Expert-level Python and SQL proficiency.
• Deep system design: distributed systems, microservices, APIs, MCP servers.
• Hands-on data engineering: pipelines, transformation, data modeling.
• AWS experience; comfortable with Docker, Kubernetes, CI/CD.
• Strong AI/LLM production experience or demonstrated passion.
• Experience designing agentic AI systems in enterprise environments.
• Context engineering: RAG, prompt architecture, retrieval pipelines.
• Familiar with Claude, GPT, Gemini; hands-on with Anthropic tooling.

Responsibilities

• Define and execute the AI technical roadmap with the Executive Director.
• Lead agentic AI efforts: architect, build, operate AI agents with data systems.
• Leverage AWS and Anthropic ties to adopt new model capabilities.
• Build production AI apps on AWS using Claude; ensure reliability and security.
• Architect scalable systems integrating LLMs into internal workflows.
• Define AI safety standards for regulated environments with audit trails.
• Establish responsible AI guardrails for AI on sensitive data.

Skills

Python

SQL

Distributed systems

Microservices

APIs

AWS

Docker

Kubernetes

CI/CD

LLM/AI

Agentic AI

Context engineering

RAG

Prompt architecture

Anthropic tooling

Enterprise integration

Education

Bachelor's or Master's in CS or related field

Tools

Claude API

Anthropic Console

AWS CLI

Job description

***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

Responsibilities:

• Partner with the Executive Director of AI Engineering to define and execute the AI technical roadmap, translating organizational priorities into concrete architectural decisions
• Lead the company’s agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows
• Leverage the company’s 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 company’s internal systems, operational workflows, and business processes, owning decisions from design through production deployment
• Define and enforce AI safety standards appropriate for a regulated SIFMU environment, including hallucination detection, output validation, bias assessment, and audit trails that satisfy SEC and CFTC oversight expectations
• Establish responsible AI practices and safety guardrails for LLM applications operating on sensitive financial data

Qualifications:

• 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
• 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
• Experience designing and operating agentic AI systems in enterprise environments
• Experience with context engineering strategies including RAG, prompt architecture, and retrieval pipeline design
• Familiarity with frontier models including Claude, GPT, and Gemini, and hands-on experimentation with emerging tools
• Hands-on experience with Anthropic's tooling and APIs, including the Claude API, Claude.ai, or the Anthropic Console
• Experience connecting AI agents to enterprise systems and workflows