AI & Analytics Engineer (Software Engineer – Full stack)

PM Pediatrics; Village of Lake Success (NY); On-site; USD 125,000 - 135,000; Full time

Job summary

PM Pediatrics seeks an AI & Analytics Engineer I to design, build, and deliver AI-powered applications, data pipelines, and analytics solutions across the organization. You’ll work under guidance to expand team capacity and velocity for AI distribution and insights.

The role focuses on hands-on execution, frontend interfaces and backend services, and collaboration with senior engineers to improve reliability and performance. Healthcare domain exposure is beneficial.

Qualifications

• Hands-on experience building dashboards, reports, or data pipelines.
• End-to-end software development including frontend and backend.
• Proficiency with a modern frontend framework (React/Vue/Angular).
• Experience with GitHub, CI/CD, testing, and code review standards.
• Exposure to AI/ML projects in academic or professional settings.

Responsibilities

• AI Applications Development: build and enhance AI-powered apps and interfaces.
• AI Integration & Delivery: integrate AI apps with enterprise systems and deploy in production.
• Data Engineering & Pipeline Development: build ETL/ELT pipelines feeding analytics.
• Analytics & Data Modeling: maintain semantic models and dashboards (Power BI).
• Cross-Functional Collaboration: partner with IT, clinical, operations and stakeholders.
• Engineering Standards & Quality: follow CI/CD, testing, and code review practices.
• Continuous Learning & Improvement: stay current with AI/analytics tech and tooling.
• Scope & Impact: contribute to AI delivery used across business operations.

Skills

Data analytics

BI development

Data engineering

Frontend development (React/Vue/Ang)

Backend development (FastAPI/Django/Ex

Git & GitHub

SQL & data modeling

Power BI

ETL/ELT concepts

Cloud platforms (Azure)

AI/ML exposure

Tools

React

Django

Express

ASP.NET Core

Spring Boot

GitHub

Power BI

SQL

Azure

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.SummaryThe AI & Analytics Engineer I supports the design, build, and delivery of user-facing AI-powered applications (including frontend interfaces and backend services), data pipelines, and analytics solutions that drive operational efficiency and decision-making across the organization.This is a developing-professional role focused on hands-on execution under the guidance of senior engineers, with the goal of expanding the team’s capacity to deliver AI applications and distribute insights at greater velocity.DescriptionCore ResponsibilitiesAI Applications DevelopmentAssist in building and enhancing AI-powered applications and agents that support business workflowsBuild user-facing interfaces using a modern frontend framework (React, Vue, Angular, or similar) that surface AI capabilities to clinical and operational usersDevelop backend services and REST or GraphQL APIs (Python, Node.js, .NET, or similar) that integrate AI capabilities into business workflowsDevelop components of AI solutions that automate routine tasks and surface insightsGather requirements from stakeholders with guidance from senior team membersIterate on AI applications based on user feedback and testing resultsProvide ongoing Level 3 support for software productsAI Integration & DeliverySupport integration of AI applications with enterprise systems (e.g., EMR, HRIS, data platforms) under senior directionAssist with deployment, testing, and monitoring of AI solutions in lower and production environmentsTranslate documented business requirements into functional workflowsFollow established standards for reliability, security, and code qualityData Engineering & Pipeline DevelopmentBuild and maintain ETL/ELT pipelines that feed analytics and AI use casesIngest and transform data from multiple source systems into centralized platformsValidate accuracy, completeness, and structure of pipeline outputsAnalytics & Data ModelingDevelop and maintain semantic models, datasets, and dashboards (Power BI and related tools)Apply standardized business metrics and KPI definitions across reportsOptimize queries and data structures for performance and usabilityImplement and maintain row-level security and access controls on reportsCross-Functional CollaborationPartner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needsCommunicate progress, blockers, and trade-offs clearly to both technical and non-technical audiencesEscalate architectural or scope questions to senior engineersEngineering Standards & QualityFollow team practices for source control, code review, documentation, and testingMonitor AI outputs and data pipelines for accuracy and reliabilitySupport compliance with data security, privacy, and governance standards (HIPAA-aware)Continuous Learning & ImprovementBuild technical depth in AI/ML tooling, cloud services, and modern data platformsContribute small improvements to existing AI tools, dashboards, and pipelinesStay current with emerging AI and analytics technologies relevant to healthcare operationsScope & ImpactContributes directly to AI application and analytics delivery used across business operationsExpands team throughput on AI applications, dashboards, and insight distributionOperates under the technical direction of the AI & Analytics Engineer II and Senior Director of AI, Data, & Enterprise ApplicationsSuccess MetricsVolume and quality of analytics and AI deliverables completedReliability and performance of owned pipelines and reportsReduction in backlog for analytics and AI requestsGrowth in technical proficiency over the first 12–18 monthsStakeholder satisfaction with delivered solutionsTarget Compensation: 125k - 135kThe salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.Qualifications2–4 years of experience in data analytics, BI development, data engineering, or software developmentHands-on experience building custom software products, including writing code and delivering end-to-end solutions aligned to business requirements.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 settingHands-on experience building and shipping user-facing applications end-to-end, including both frontend (web or mobile UI) and backend (services, APIs, data access) componentsDemonstrated 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) preferredTechnical & Functional ExpertiseDemonstrated 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 workflowsWorking proficiency with SQL and relational data modelingExperience with Power BI (or comparable BI platform) including DAX and semantic modelsFamiliarity with ETL/ELT concepts and at least one data integration toolExposure to cloud platforms (Azure preferred) and AI/ML services a plusComfort working with both structured and unstructured dataCompetenciesStrong analytical and problem-solving skills with attention to detailWillingness to learn from senior engineers and apply feedback quicklyEffective written and verbal communication with technical and non-technical partnersAbility to manage multiple concurrent tasks and meet committed delivery datesHealthcare or pediatrics domain interest is a plusCompensation:Role DependentThe salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.EEO StatementPM Pediatric Care is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status or any other characteristic protected by law.