Artificial Intelligence Engineer / Data

Job Description

NO Sponsorship / NO OPT

\n

\n

Associate Principal, Artificial Intelligence Engineering / Data Engineer

\n

\n

SALARY: $160k plus 15% bonus

\n

LOCATION: CHICAGO, IL

\n

HYBIRD 3 DAYS ONSITE

\n

\n

\n
• AI 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.
\n

\n

\n

\n
• 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
\n
• Software/application engineering : building agentic workflows
\n
• Infrastructure : AWS infrastructure-as-code, containerization, deployment pipelines
\n

\n

\n

Qualifications:

\n

\n

Technical Skills:

\n

\n
• Required: Strong Python; proficient SQL; solid distributed systems and API design fundamentals
\n
• Required: Hands-on experience building LLM-powered applications or agentic systems
\n
• Required: Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly
\n
• Required: Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals
\n
• Preferred: Direct experience with Claude, the Anthropic API, or Claude.ai/Console
\n
• Preferred: Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations
\n
• Preferred: Production experience operating LLM-powered applications or agentic systems at scale
\n
• Preferred: Kubernetes and infrastructure-as-code (Terraform)
\n
• Preferred: Background in financial services, derivatives, or other regulated industries
\n
• Preferred: Exposure to AI security practices such as red-teaming or adversarial testing of model inputs and outputs
\n
• Preferred: Data engineering experience (pipelines, data modeling), particularly for candidates interested in AI infrastructure work
\n

\n

\n

Education and/or Experience:

\n

\n
• Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred
\n
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred
\n

\n