Principal, AI Engineer

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 degree
10+ years of software engineering and systems architecture experience, with demonstrated technical leadership
5+ years as a senior individual contributor on complex, high-stakes production systems
Expert-level Python; proficient in SQL
Deep system design expertise: distributed systems, microservices, event-driven architectures, APIs, and MCP servers
Hands-on experience with data engineering: pipelines, transformation, and data modeling
AWS experience; comfort with Docker, Kubernetes, and CI/CD pipelines
Strong production AI/LLM experience
Strong working knowledge of AI risk vectors: hallucinations, prompt injection, bias, data privacy, and output validation
Familiarity with frontier models including Claude, GPT, and Gemini, and hands-on experimentation with emerging tools
Experience connecting AI agents to enterprise systems and workflows
Infrastructure as code (Terraform)

Preferred

Production experience building and operating LLM-powered applications
Experience designing and operating agentic AI systems in enterprise environments
Hands-on experience with Anthropic’s tooling and APIs, including the Claude API, Claude.ai, or the Anthropic Console

Responsibilities

Partner with the Executive Director of AI Engineering to define and execute AI technical roadmap, translating organizational priorities into concrete architectural decisions
Lead agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows
Leverage direct relationships with AWS and Anthropic to evaluate and adopt new model capabilities and tooling as they become available
Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability
Architect scalable systems that integrate LLMs and AI agents into internal systems, operational workflows, and business processes, owning decisions from design through production deployment
Serve as the primary technical mentor for junior engineers: conducting code and architecture reviews, modeling engineering best practices, and raising the team's overall technical level (no direct reports)
Define and enforce AI safety standards appropriate for a regulated SIFMU environment, including hallucination detection, output validation, bias assessment, and audit trails that satisfy SEC and CFTC oversight expectations
Establish responsible AI practices and safety guardrails for LLM applications operating on sensitive financial data
Navigate change management and security review processes when deploying AI systems into production
Evaluate emerging AI technologies and provide concrete, risk-aware recommendations on adoption

INDS

Pay: From $190,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Paid time off

Work Location: Hybrid remote in Chicago, IL 60606

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