Artificial Intelligence Engineer

Request Technology, LLC; Chicago (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Request Technology, LLC seeks an experienced software engineer to design and deploy agentic AI systems with strong Python and API skills. You will build orchestration patterns and integration for reliable, auditable workflows in a regulated setting. The role emphasizes AI risk mitigation, governance collaboration, and scalable cloud infrastructure.

We value production AI/LLM experience, cloud knowledge (AWS), and the ability to implement robust safeguards and auditability across systems.

Qualifications

• Bachelor's or Master's in a technical field; Master's preferred.
• 4-7 years of software engineering with production AI/LLM experience is ideal.
• Strong Python and SQL, plus distributed systems and API design fundamentals.
• Experience building LLM-powered applications or agentic systems.
• Familiarity with AI risk areas and data privacy concepts.
• Cloud experience (AWS preferred); comfort with Docker and CI/CD.

Responsibilities

• Own design and delivery of agentic AI systems end-to-end.
• Architect orchestration patterns, tool/context integration, evaluation pipelines.
• Own AI infrastructure on AWS and contribute to self-sufficiency.
• Implement safeguards against AI risks with governance collaboration.
• Build audit logging and human-in-the-loop checks for traceability.

Skills

Python

API design

Distributed systems

LLM/AI systems

Agent orchestration

Data privacy awareness

Prompt risk mitigation

Cloud fundamentals

Education

Bachelor's in CS/Engineering or related field

Master's preferred

Tools

Docker

CI/CD

Containerization

AWS

Claude

Anthropic API

Claude.ai/Console

Job description

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

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

Responsibilities:

• Own the design and delivery of agentic AI systems end-to-end, from architecture through production deployment
• Architect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environment
• Own AI infrastructure supporting AIRE's agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiency
• Implement technical safeguards against AI-specific risks, including hallucination detection, prompt injection defense, and output validation, in collaboration with company AI Governance function
• Build audit logging and human-in-the-loop checkpoints into agentic workflows so agent actions remain traceable and reviewable in a regulated environment

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred
• Strong Python; proficient SQL; solid distributed systems and API design fundamentals
• Hands-on experience building LLM-powered applications or agentic systems
• Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly
• Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals
• Direct experience with Claude, the Anthropic API, or Claude.ai/Console
• Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations
• Production experience operating LLM-powered applications or agentic systems at scale