Experience:

• 3-5 years in Machine Learning, AI, or a related field
• At least 1 year building custom Agentic AI applications
• Production systems delivered
• Strong Python skills
• Hands-on experience with LLMs and prompt engineering across the full application lifecycle
• Demonstrated experience building AI agents with LangGraph
• Familiarity with at least one enterprise cloud AI platform such as Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise
• Working knowledge of REST APIs, WebSockets, and event-driven systems
• Proficiency with CI/CD tooling such as Jenkins and version control with Git
• Fluency with AI-augmented development tools for rapid prototyping
• Strong written and verbal communication
• Analytical approach to problem-solving
• Ability to work independently within a cross-functional team

Responsibilities:

• Build AI agents and multi-agent systems using LangGraph and LangChain
• Develop and tune prompt engineering workflows across multiple LLMs
• Develop REST APIs, WebSocket services, and event-driven pipelines for real-time AI services
• Support deployment and automation for reliable and secure production use
• Automate testing and releases through Jenkins CI/CD
• Maintain code and documentation standards using Git, Jira, and Confluence
• Deploy AI applications in enterprise environments adhering to best practices
• Coordinate with platform, security, and product teams to deliver scalable secure deployments
• Perform data layer curations and integrate with source systems for agentic applications

Additional responsibilities:

• Use AI-augmented development tools such as Claude Code and Codex to accelerate delivery
• Work with other relevant essential functions as required

Nice to have:

• Familiarity with Databricks
• Exposure to MLOps/LLMOps workflows and application monitoring
• Knowledge of enterprise security, compliance, and governance for AI systems
• Familiarity with code and model lifecycle management practices

More skills:

AI, GPT, Claude, LLaMA, event-driven pipelines, CI/CD, Jira, Confluence, Claude Code, Codex, Databricks, MLOps, application monitoring, enterprise security, compliance, governance, code lifecycle management, model lifecycle management, AI Governance

Other:

• Opening Santa Clara
• Role title listed as Lead I - ML Engineering
• Compensation range: $94,000-$141,000
• Benefits include paid vacation, paid sick leave, paid holidays, bereavement leave, jury duty, 401(k) with employer matching, medical, dental, vision, basic life insurance, accidental death and disability insurance, short- and long-term disability benefits, HSA, and FSA
• Benefits offerings vary in Puerto Rico
• UST is an Equal Opportunity Employer
• Consideration provided without regard to protected characteristics
• Qualified applicants with arrest or conviction records will be considered in accordance with state and local laws and fair chance ordinances
• UST values Humility, Humanity, and Integrity
• Full-time employees accrue 10 days of paid vacation per year and 6 days of paid sick leave per year
• Part-time employees receive 6 days of paid sick leave per year
• Full-time temporary employees receive 6 days of paid sick leave per year and medical, dental, and vision insurance
• Part-time temporary employees receive 6 days of paid sick leave per year