Associate Application Engineer - AI & Data

Associate Application Engineer – AI & Data

This role is designed for a career driven technical professional with strong problem-solving ability, curiosity, and an interest in building modern applications, automation systems, AI-enabled solutions. The ideal candidate is excited by technology, enjoys learning how systems work together, and wants to grow their skills in application development, automation, and scalable data architecture. You will work across analytics applications, automation systems, AI workflows, integrations, and operational tooling. This role is ideal for someone who wants to grow from a junior-level developer into a well-rounded engineer capable of supporting applications, automation, and intelligent systems.

Growth & Hands-On Development

You will contribute to the development, maintenance, and support of internal applications, automation systems, integrations, and data-driven platforms that directly support business operations and future innovation initiatives. This role focuses on application development, system reliability, automation, and scalable data architecture rather than traditional reporting or analytics support functions.

AI-First Development Environment

AI is embedded into how we build. You will use modern AI tooling, agentic workflows, and automation frameworks to accelerate development, debugging, testing, and operational efficiency.

Innovation-Focused Team

This role sits within the AI, Data & Innovation organization—not traditional Business Intelligence. The expectation is continuous improvement, experimentation, and building scalable solutions that evolve with the business.

High Impact Across the Organization

You'll work across multiple domains including:

• Internal operational applications
• AI-enabled workflows and automation
• Data platforms and integrations
• Analytics and reporting systems
• Salesforce and operational tooling
• Emerging innovation initiatives

Application Development & Support (50%)

• Support the development, enhancement, and maintenance of internal applications and automation systems
• Assist with application reliability, performance improvements, and ongoing support activities
• Develop APIs, integrations, workflows, and backend services that support business operations
• Troubleshoot and resolve bugs, system failures, and performance bottlenecks
• Contribute to improving application maintainability and operational efficiency over time
• Participate in feature development, testing, and modernization initiatives

Data & Platform Engineering (30%)

• Develop and optimize data models, queries, and integrations across platforms including MySQL, PostgreSQL, Salesforce, and internal systems
• Build scalable automation and data-processing solutions
• Ensure integrity, consistency, and reliability of operational and analytical data flows
• Support AI-enabled workflows and automation pipelines
• Implement monitoring, validation, and observability practices across systems

AI, Automation & Innovation (20%)

• Leverage AI-assisted development tools and agentic workflows to accelerate delivery and reduce manual effort
• Identify opportunities to automate operational processes and improve system efficiency
• Partner with leadership and cross-functional teams to prototype and deliver innovative solutions
• Evaluate emerging technologies and recommend scalable implementations
• Learn and contribute to scalable engineering and automation best practices

Core Skills (Non-Negotiable)

1. Curiosity & Builder Mentality

• You enjoy learning how systems and applications work and finding ways to improve them
• You naturally look for opportunities to improve, automate, and scale processes
• You are dependable, proactive, and willing to learn through hands-on experience

2. Technical Problem Solving

• Strong debugging and troubleshooting skills across applications, data, and integrations
• Comfortable learning and working across applications, APIs, databases, and automation workflows
• Ability to troubleshoot issues and work through technical problems with guidance and collaboration

3. AI-Assisted Development Experience

• Experience using AI tools such as Claude CLI, Cursor, ChatGPT, GitHub Copilot, or similar
• Comfortable incorporating AI into development workflows, debugging, automation, and documentation
• Understanding of prompt engineering and agentic development concepts
• Curiosity and willingness to continuously adopt emerging tools and technologies

4. Development & Automation Skills

• Foundational proficiency in Python, PHP, or similar programming languages
• Familiarity with SQL and relational databases such as MySQL or PostgreSQL
• Experience building projects, scripts, applications, or automation solutions through work, school, or personal projects
• Familiarity with JavaScript and modern web application concepts
• Interest in learning scalable development practices and maintainable coding standards

5. Data & Systems Awareness

• Strong understanding of data structures, relationships, and operational workflows
• Experience working across interconnected systems and integrations
• Interest in understanding how systems, data, and automation work together

Experience Level

• 1–3 years of experience in software development, automation, data, IT, or similar technical roles
• Equivalent internship, project, bootcamp, or hands-on experience will also be considered
• Experience supporting applications, scripts, integrations, or automation projects preferred
• Experience in healthcare technology, operational systems, or data-intensive environments is a plus

Technical Environment

Languages & Databases

• Python
• PHP
• JavaScript
• MySQL
• PostgreSQL

Platforms & Systems

• Salesforce
• APIs & integration frameworks
• Cloud and automation tooling
• Internal operational systems

AI & Automation Tooling

• Claude
• Cursor
• AI-assisted coding tools
• Agentic development workflows
• Automation frameworks

Bonus Experience (Preferred, Not Required)

• AWS, Azure, or GCP
• Databricks or Snowflake
• Docker or containerized applications
• CI/CD pipelines
• Healthcare interoperability standards (HL7, FHIR)
• AI workflow orchestration tools
• Frontend frameworks and modern UI development

What Success Looks Like

First 30 Days

• Understand PaceMate's systems, architecture, and operational workflows
• Contribute bug fixes, enhancements, or automation improvements
• Demonstrate proficiency with AI-assisted development workflows
• Build relationships across engineering, operations, and leadership teams

First 90 Days

• Begin independently contributing to internal applications and automation system
• Deliver measurable improvements in automation, performance, or operational efficiency
• Reduce manual operational workload through scalable technical solutions
• Contribute to the AI, Data & Innovation roadmap

First Year

• Grow into a trusted technical contributor across multiple systems and applications
• Improve platform scalability, reliability, and maintainability
• Continue developing technical expertise in AI-assisted development and automation practices
• Accelerate organizational innovation through automation and intelligent tooling

Our Values in Action

• Impact-focused: Everything we build ultimately affects patient care and operational excellence
• Innovation-driven: We embrace emerging technologies and modern engineering approaches
• Ownership: We take responsibility for outcomes and long-term success
• Pragmatic: We build scalable solutions that create measurable value
• Collaborative: We solve problems together and continuously learn from one another