NO Sponsorship / NO OPTAssociate Principal, Artificial Intelligence Engineering / Data EngineerSALARY: $160k plus 15% bonusLOCATION: CHICAGO, ILHYBIRD 3 DAYS ONSITEAI research and engineering. You will need strong python, SQL, API, cloud infrastructure. Claude, anthropic api or claude AI console. Designing agent orchestration or model context protocol based integrations ai applications and/or infrastructure. Data engineering (currently highest preference): ETL/ELT, data pipelines — Needs to build a "knowledge substrate" to make corporate data (ServiceNow, JIRA, SaaS apps) consumable by AI models Software/application engineering: building agentic workflows Infrastructure: AWS infrastructure-as-code, containerization, deployment pipelines
Qualifications
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
