Why This Role Stands Out
This AI Engineer role offers a fantastic opportunity to build cutting-edge LLM and agentic AI solutions on AWS, with a hybrid work model providing excellent flexibility. You'll thrive here if you have strong Python, AWS, and AI development experience, and are eager to own production systems from design to deployment. Apply now to contribute to innovative AI applications and grow your career in a dynamic environment.
Quick Overview
Job Description
AI Engineer
Location: Chicago, IL | Hybrid: 3 days onsite | Full-Time, Direct Hire
Work Authorization: U.S. work authorization without sponsorship required
Role
We’re seeking an AI Engineer to build and deploy production-grade LLM and agentic AI solutions using Python, AWS, and modern AI technologies. This is a hands-on role focused on architecture, development, AI reliability, and production deployment.
Key Responsibilities
- Build and deploy LLM/agentic AI applications.
- Design agent orchestration, tool/context integrations, and evaluation workflows.
- Develop AI infrastructure on AWS.
- Implement safeguards for hallucinations, prompt injection, data privacy, and output validation.
- Support architecture/code reviews and mentor junior engineers.
Requirements
- 4–7 years of software engineering experience.
- Strong Python, SQL, AWS, APIs, and distributed systems skills.
- Hands-on LLM/GenAI or agentic AI development experience.
- Experience with Docker and CI/CD.
- Production system ownership from design through deployment.
- Bachelor’s degree in CS, Engineering, or related field.
Preferred: Claude/Anthropic, MCP, Kubernetes, Terraform, AI security, data engineering, or financial services experience.
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