AI Developer
$82,000-$123,000
Apply (opens in a new tab)AI Developer
Posted 36 days ago
SENIORITY
Senior
SALARY
$82,000-$123,000
About the role
- 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. What You Need· 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 Location & Compensation Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below. Role Location: Remote-US
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