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Principal Artificial Intelligence Engineer (Chicago)
Principal Artificial Intelligence Engineer (Chicago)Request Technology, LLC • Chicago, IL, US
Principal Artificial Intelligence Engineer (Chicago)

Principal Artificial Intelligence Engineer (Chicago)

Request Technology, LLC • Chicago, IL, US
1 day ago
Job type
  • Full-time
  • Part-time
  • Permanent
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, 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
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    Artificial Intelligence Engineer • Chicago, IL, US

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