AI Engineer
SECURE ROOTS
Chicago, IL, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Code Review
Continuous Integration
Information Engineering
Distributed Systems
Python (Programming Language)
Software Deployment
Software Engineering
SQL Databases
AI Infrastructure
+6 more
Large Language Models
Build Management
Kubernetes
Virtual Agents
Terraform
Docker
Job description
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., * 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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