AI & Analytics Engineer (Software Engineer – Full stack)
$125,000–$135,000 year
RemoteUnited States
Job Summary
Build and enhance AI-powered applications and agents that support business workflows by developing user-facing interfaces and backend services. Develop ETL/ELT pipelines that feed analytics use cases and maintain semantic models, datasets, and dashboards for operational efficiency. Gather requirements from stakeholders, iterate on solutions based on feedback, and provide ongoing Level 3 support for software products. Integrate AI applications with enterprise systems like EMR and HRIS while ensuring reliability, security, and code quality standards. Partner with IT, clinical informatics, and operations to communicate progress and escalate architectural questions. Operate under the technical direction of senior engineers to expand team capacity for delivering AI applications and distributing insights.
Required Qualifications
- 2–4 years of experience in data analytics, BI development, data engineering, or software development
- Proven ability to conduct testing, troubleshoot and debug issues, and ensure high-quality, reliable application performance across environments
- Hands-on experience building dashboards, reports, or data pipelines in a professional setting
- Hands-on experience building and shipping user-facing applications end-to-end, including both frontend (web or mobile UI) and backend (services, APIs, data access) components
- Demonstrated proficiency with a modern frontend framework (React, Vue, Angular, or similar)
- Demonstrated proficiency with a backend framework (FastAPI, Django, Express, ASP.NET Core, Spring Boot, or similar)
- Active GitHub profile or equivalent code portfolio with reviewable code samples (required at application)
- Exposure to AI, machine learning, or workflow automation projects (academic or professional) preferred
- Demonstrated proficiency in modern software engineering tools (IDES), practices; including Agile development, CI/CD workflows, automated testing, and code review standards
- Daily experience with Git and GitHub (or comparable), including branching, pull requests, and code review workflows
- Working proficiency with SQL and relational data modeling
- Experience with Power BI (or comparable BI platform) including DAX and semantic models
- Familiarity with ETL/ELT concepts and at least one data integration tool
- Exposure to cloud platforms (Azure preferred) and AI/ML services a plus
- Comfort working with both structured and unstructured data
- Strong analytical and problem-solving skills with attention to detail
- Effective written and verbal communication with technical and non-technical partners
- Ability to manage multiple concurrent tasks and meet committed delivery dates
Desired Qualifications
- Healthcare or pediatrics domain interest is a plus
- Exposure to cloud platforms (Azure preferred) and AI/ML services a plus
- Healthcare or pediatrics domain interest is a plus
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