AI Developer

Summary

UST is a technology and digital solutions company that partners with organizations on transformation and AI-driven solutions. The company is seeking a mid-level AI Developer to build and deploy agentic and multi-agent AI systems for healthcare payer use cases. The role focuses on Python services, data pipelines, secure AWS operations, and collaboration across engineering, data, product, and compliance teams.

Responsibilities

• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Full-time, regular employees accrue a minimum of 10 days of paid vacation per year
• 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• 10 paid holidays
• Eligible for paid bereavement leave and jury duty
• Eligible to participate in the Company’s 401(k) Retirement Plan with employer matching
• Medical, dental, and vision insurance for employees and their dependents residing in the US
• Company-paid basic life insurance for employees
• Company-paid accidental death and disability insurance for employees
• Company-paid short- and long-term disability benefits for employees
• Regular employees may purchase additional voluntary short-term disability benefits
• Health Savings Account (HSA)
• Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines
• Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• Part-time employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching
• Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• Full-time temporary employees are eligible to participate in the Company’s 401(k) program with employer matching
• Full-time temporary employees and their dependents residing in the US are eligible for medical, dental, and vision insurance
• Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws