Request Technology, LLC
Technical Lead Engineer, Artificial Intelligence (Chicago)
Request Technology, LLC, Chicago, Illinois, United States, 60290
Technical Lead Engineer, Artificial Intelligence
Salary: Open + Bonus
Location: Chicago, IL
Hybrid: 3 days onsite 2 days remote
*We are unable to provide sponsorship for this role*
Qualifications Bachelor's or Master's degree 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 architecture, distributed systems, event-driven architecture, APIs Hands-on experience in data (e.g., data engineering, data pipelines, data transformation) 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 Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform Experience with RAG architecture and context engineering Familiarity with diverse LLM provider APIs and experience connecting agents to systems
Responsibilities Partner with the Executive Director, AI Engineering to help define and execute on AI technical roadmap Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure Design and build production applications in support of organizational use cases Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports) 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
Qualifications Bachelor's or Master's degree 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 architecture, distributed systems, event-driven architecture, APIs Hands-on experience in data (e.g., data engineering, data pipelines, data transformation) 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 Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform Experience with RAG architecture and context engineering Familiarity with diverse LLM provider APIs and experience connecting agents to systems
Responsibilities Partner with the Executive Director, AI Engineering to help define and execute on AI technical roadmap Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure Design and build production applications in support of organizational use cases Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports) 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