Senior AI Engineer
Job Description
Design and deploy applied AI systems that connect LLMs, backend services, and cloud platforms to real business use cases in a hybrid Chicago setup.
Responsibilities
- 40% Agentic system development
- 30% LLM integration
- 20% Workflow automation and internal tools
- 70% Hands-on building and implementation
- 10% Management duties
- 20% Team collaboration
Requirements
- Strong software engineering background with experience building scalable backend systems
- Ability to reason through business problems end-to-end and deliver solutions that users adopt
- Experience identifying high-value AI opportunities and determining where AI will have the biggest impact
- Demonstrated ability to stay current on latest models, architecture, frameworks, and techniques and guide the team on which approaches to adopt
- Strong understanding of how to choose the appropriate AI approach for a given problem (without defaulting to familiar tools)
- Experience collaborating with product and business stakeholders to translate customer needs into effective AI solutions
Technologies
- LLMs
- LangChain
- LangGraph
Desired Skills & Experience
- Experience building agentic systems or workflows that take actions across multiple services
- Familiarity with modern AI tooling such as LangChain, LangGraph, or similar
Benefits
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- 401k
- Regular Hybrid Schedule with additional WFH allotments
Location: Chicago, IL (hybrid)