Associate Application Engineer – AI & Data
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Associate Application Engineer – AI & Data based in United States.
This role sits within a forward-looking AI, Data & Innovation organization focused on building the next generation of internal applications, automation systems, and AI-enabled workflows in a healthcare technology environment. You will contribute directly to the design, development, and support of scalable tools that improve operational efficiency and patient outcomes. The position blends software engineering, data integration, and applied AI, offering hands-on exposure to modern development practices and emerging technologies. You’ll work across APIs, databases, automation pipelines, and internal platforms that power critical business operations. This is a highly collaborative environment where curiosity, problem-solving, and continuous learning are valued. The role is ideal for a builder mindset eager to grow into a well-rounded engineer working at the intersection of applications, data, and AI innovation.
Accountabilities
In this role, you will contribute to the development, support, and continuous improvement of internal applications, automation systems, and data-driven platforms that enable core business operations. You will work across engineering, data, and innovation teams to build scalable solutions and improve system reliability and performance.
- Support the development, enhancement, and maintenance of internal applications, APIs, and automation workflows
- Troubleshoot and resolve system issues, bugs, and performance bottlenecks across applications and integrations
- Develop and optimize data models, queries, and integrations across MySQL, PostgreSQL, Salesforce, and related systems
- Contribute to AI-enabled workflows and automation pipelines using modern development and AI-assisted tools
- Participate in feature development, testing, debugging, and system modernization initiatives
- Identify opportunities to automate manual processes and improve operational efficiency
- Collaborate with cross-functional teams to ensure data integrity, system reliability, and scalable architecture
- 1–3 years of experience in software development, automation, data, IT, or related technical roles (or equivalent hands-on experience such as bootcamps, internships, or personal projects)
- Proficiency in at least one programming language such as Python, PHP, or JavaScript
- Solid understanding of SQL and relational databases (MySQL or PostgreSQL preferred)
- Experience debugging, troubleshooting, and working across APIs, systems, or integrations
- Familiarity with AI-assisted development tools (e.g., ChatGPT, GitHub Copilot, Cursor, Claude)
- Understanding of basic system architecture, data structures, and operational workflows
- Strong curiosity and builder mindset with a proactive approach to learning and problem-solving
- Exposure to automation, scripting, or application development projects (professional or personal)
- Bonus: experience with cloud platforms (AWS, Azure, GCP), CI/CD, Docker, or healthcare data standards (HL7, FHIR)
- 100% remote work environment within the contiguous United States
- Opportunity to work on AI-first engineering initiatives in a high-growth healthcare technology setting
- Hands-on experience with modern application development, automation, and data engineering systems
- Exposure to AI-assisted development workflows and emerging technologies
- Collaborative, innovation-driven team culture with strong mentorship and learning opportunities
- Career growth potential into more advanced engineering, AI, or platform roles
- Impactful work contributing to systems that support healthcare operations and patient outcomes
- Inclusive and equal opportunity work environment
Requirements
This role requires a strong foundation in software development, problem-solving ability, and curiosity for building and improving systems. The ideal candidate is comfortable working across applications, data, and automation workflows while continuously learning modern engineering practices and AI-assisted development tools.