# Jerome Ortega

> AI Applications Engineer | Full Stack Systems | Agentic Workflows & Developer Tooling

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/jerome

I’m a full stack engineer specializing in building AI-powered systems that improve how developers build, test, and ship software.

At Workday, I develop internal AI applications that integrate LLMs directly into engineering workflows, unifying a fragmented tooling ecosystem. My work focuses on designing agentic systems that orchestrate complex multi-step tasks across internal tools.

Full stack systems (React, Python, distributed services)
Applied AI (LLMs, LangChain, tool orchestration, structured outputs)
Developer platforms and internal tooling

I’ve led the design of core system capabilities including:
Multi-agent orchestration patterns and tool abstractions
Agent “personas” that encapsulate reusable workflows and domain logic
Prompt systems, structured outputs, and evaluation frameworks
Observability and metrics pipelines for AI system performance and adoption

I’m particularly interested in building systems where AI moves beyond chat interfaces and becomes an active layer within production software workflows.

## Work Experience
### Software Engineer, AI Applications @ Workday
Jan 2022 – Present | Pleasanton, CA
• Designed and built a multi-agent system that orchestrates workflows across internal CI/CD, version control, and ticketing tools via a unified LLM interface
• Implemented a supervisor agent that routes requests to specialized subagents for tasks such as environment provisioning, code reviews, testing, and workflow automation
• Created reusable agent “personas” that encapsulate complex workflows, significantly expanding system capabilities and adoption
• Standardized tool descriptions and prompt patterns to improve tool selection accuracy and system reliability
• Built structured outputs, evaluation pipelines, and golden datasets to measure and improve model performance
• Developed observability and analytics systems using LangSmith, Mixpanel, and internal data sources to track adoption, performance, and system health
• Upgraded core AI infrastructure and maintained model integrations to leverage latest capabilities

Developer Productivity & Platform Impact:
• Reduced CI/CD pipeline times by ~40%
• Improved local build performance by up to 80% (NX monorepo optimizations)
• Reduced unnecessary CI workloads by ~70% via diff-based build/test strategies
• Built shared libraries and data models (Pydantic) to standardize contracts across services

Leadership & Influence:
• Led design of core features including agent personas, prompt systems, and workflow orchestration patterns
• Mentored engineers and contributed to team growth and adoption of AI-driven development practices
• Partnered with product in a highly ambiguous space to shape direction and accelerate delivery using AI-assisted workflows

### Software Engineer III @ Noyo
Jan 2021 – Jan 2022 | San Francisco Bay Area

### Software Engineer III / Team Lead @ OnlineMedEd
Jan 2019 – Jan 2021 | Austin, Texas Area
• Designed and developed a scalable scheduling API and user interface, achieving 100% test coverage from planning through deployment.

• As team lead, enhanced team processes to facilitate more agile deployments and improve communication, including: comprehensive process and API documentation, optimized VQA procedures, streamlined onboarding for new developers, and actionable insights in sprint retrospectives.

• Conceived and delivered a two-part presentation to enhance workplace communication and collaboration.

### Software Engineer I, II @ OnlineMedEd
Jan 2018 – Jan 2019 | Austin, Texas
• Designed and implemented the data collection solution for the primary B2C software, creating data infrastructure for the Data Science team to help prioritize future development and analyze customer behavior.

### Frontend Software Engineer I @ Guardian Alliance Technologies, Inc
Jan 2017 – Jan 2018 | Stockton, California
• Redesigned the component structure of a multi-page form with over 500 fields, successfully eliminating a 74ms input delay and significantly improving user responsiveness and experience.

• Created and implemented a comprehensive validation system for all form input fields, which enhanced data consistency and provided a smoother user interaction.


## Education
### Bachelor of Science - BS in Computer Science
California State University, Monterey Bay


## Contact & Social
- LinkedIn: https://linkedin.com/in/jerome-ortega

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Source: https://flows.cv/jerome
JSON Resume: https://flows.cv/jerome/resume.json
Last updated: 2026-03-22