Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Chicago, IL, United States
Posted
19 hours ago
DockerSQLAWSKubernetesLLMPythonTerraform
Job Description
NO Sponsorship / NO OPT
Associate Principal, Artificial Intelligence Engineering
SALARY: $150k plus 15% bonus
LOCATION: CHICAGO, IL
HYBIRD 3 DAYS ONSITE
AI research and engineering. You will need strong python, SQL, API, cloud infrastructure. Cclaude the anthropic api or claude ai console designing agent orchestration or model context protocol based integrations ai applications and/or infrastructure
Qualifications:
- Experience mentoring or elevating the work of junior engineers
- Demonstrated ownership of production systems from design through deployment
- Ability to work effectively in a still-forming, fast-moving team environment
- This position is not eligible for employment be legally authorized to work in the United States without the need for sponsorship now or in the future.
Technical Skills:
- Required: Strong Python; proficient SQL; solid distributed systems and API design fundamentals
- Required: Hands-on experience building LLM-powered applications or agentic systems
- Required: Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly
- Required: Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals
- Preferred: Direct experience with Claude, the Anthropic API, or Claude.ai/Console
- Preferred: Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations
- Preferred: Production experience operating LLM-powered applications or agentic systems at scale
- Preferred: Kubernetes and infrastructure-as-code (Terraform)
- Preferred: Background in financial services, derivatives, or other regulated industries
- Preferred: Exposure to AI security practices such as red-teaming or adversarial testing of model inputs and outputs
- Preferred: Data engineering experience (pipelines, data modeling), particularly for candidates interested in AI infrastructure work
Education and/or Experience:
- Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred
- 4-7 years of software engineering experience, with production AI/LLM systems experience preferred
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