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# AI Developer

- **Company:** UST Inc
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $82,000.0 - $123,000.0
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Clinical Data Repository, Code Review, Continuous Integration, Data Security, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Systems Integration, Data Logging, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, AgentCore, Agentic-AI, Build Management, AI Platforms, Evaluation of Large Language Models, GPT, Software Version Control, Data Pipelines, Databricks
- **Published:** October 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18507594?backUrl=%2Fcareer%2F18507594%2FAi-Developer-Illinois-Chicago

## About the Role

* 2-4 years of professional software/AI development experience, including hands-on work building agentic or multi-agent AI systems (LLM orchestration, tool use, RAG, or similar)

 * Practical experience with AWS AgentCore or comparable agent-orchestration frameworks, and a solid working knowledge of core AWS services (compute, storage, IAM, networking)

 * Strong proficiency in Python, including experience building APIs/services and integrating with LLM frameworks and cloud SDKs

 * Experience working with Databricks and/or Snowflake for data access, transformation, or pipeline development

 * Understanding of data security fundamentals - encryption, access controls, secrets management, and secure data handling - and comfort operating within a regulated, compliance-driven enterprise environment

 * Solid understanding of software engineering fundamentals: version control, testing, code review, and CI/CD practices

 * Strong communication skills and the ability to work cross-functionally with engineering, data, product, and compliance teams

 * Preferred Qualifications:

 * Familiarity with the healthcare payer domain (claims, clinical data, provider data, or Medicare Advantage)

 * AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning, or equivalent)

 * Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional or equivalent)

 * Prior experience in healthcare, health insurance, or another regulated industry (financial services, government) with exposure to HIPAA, SOC 2, or similar compliance frameworks

 * Experience with vector databases, RAG pipelines, or LLM evaluation/observability tooling

## Description

UST is searching for a mid-level AI Developer to help build and deploy agentic and multi-agent AI systems that power next-generation solutions across the healthcare payer space - spanning claims processing, clinical data, provider operations, and Medicare Advantage.

What You'll Do

 * Design, build, and deploy agentic and multi-agent AI applications using AWS AgentCore, including agent orchestration, tool-calling, memory, and multi-step reasoning workflows

 * Develop production-grade Python services and pipelines that integrate LLM-based agents with internal systems and healthcare payer data domains (claims, clinical, provider, Medicare Advantage)

 * Build and maintain data pipelines and feature/data access layers on Databricks and Snowflake to support agentic workflows and downstream AI applications

 * Implement data security, access control, PHI/PII handling, and audit-logging practices appropriate for a regulated healthcare environment (HIPAA and related compliance frameworks)

 * Deploy, monitor, and operate AI services on AWS, following enterprise practices for CI/CD, observability, scalability, and cost management

 * Collaborate with data engineers, ML engineers, product owners, and compliance/security stakeholders to translate business requirements into secure, production-ready agentic solutions

 * Write clean, well-tested, maintainable code and contribute to internal standards and reusable components for agent development

 * Troubleshoot and resolve issues across the AI application stack, from agent logic and prompt/tool design to data access and infrastructure

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.