Technical Lead Engineer, Artificial Intelligence

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

Benefits

• Salary: Open + Bonus
• We are unable to provide sponsorship for this role*

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

Full Description

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