Request Technology, LLC
Principal Artificial Intelligence Engineer (Chicago)
Request Technology, LLC, Chicago, Illinois, United States, 60290
***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, AI Engineering to help define and execute on the company AI technical roadmap
Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure
Provide technical mentorship to junior engineers on engineering best practices and system design
Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards
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
Qualifications:
Bachelor's or Master's in Computer Science or related technical field
10+ years software engineering/systems architecture experience with strong technical leadership
5+ years as senior technical contributor on complex production systems
Expert in Python and proficient in SQL
System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs
Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)
Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT)
Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy
Production experience with AI applications or LLM-powered systems
Experience with RAG architectures and context engineering
Familiarity with diverse LLM provider APIs and experience connecting agents to systems
Experience tinkering with frontier lab tools and products
Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform