VetsEZ Logo

VetsEZ

Applied AI Product Engineer (Remote Opportunity)

Posted 8 Days Ago
In-Office or Remote
Hiring Remotely in Philadelphia, PA
Junior
In-Office or Remote
Hiring Remotely in Philadelphia, PA
Junior
Build and deploy AI-powered features and full-stack applications for healthcare platforms using LLMs and modern AI engineering tools. Develop APIs, backend services, automation pipelines, and production-ready MLOps/DevOps workflows. Collaborate with product, design, and clinical stakeholders, research emerging AI technologies, and support scalable, secure deployments in an Agile remote environment.
The summary above was generated by AI

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.

This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.

The candidate must reside within the continental US.

Responsibilities:

  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2–3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:

  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time

Similar Jobs

2 Days Ago
In-Office or Remote
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Design and implement AI-powered features for healthcare platforms, develop full-stack applications, and collaborate with stakeholders in a fast-paced Agile environment.
Top Skills: AWSAzureClaudeCodexCursorDockerGoogle Cloud PlatformHugging FaceJavaScriptKubernetesOpenaiPythonPyTorchScikit-LearnTensorFlowTypescript
16 Days Ago
In-Office or Remote
Junior
Junior
Artificial Intelligence • Cloud • Information Technology • Machine Learning
The Applied AI Product Engineer will design and develop AI-powered features for healthcare products, building full-stack applications while collaborating with various teams to enhance patient engagement and operational efficiency.
Top Skills: AWSAzureClaudeCodexCursorDockerGoogle Cloud PlatformHugging FaceJavaScriptKubernetesOpenaiPythonPyTorchScikit-LearnTensorFlowTypescript
Yesterday
Remote or Hybrid
US
415K-496K Annually
Expert/Leader
415K-496K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Lead and scale the Enterprise AI & Digital Natives sales segment in the NYC region. Own revenue targets, recruit and mentor a field sales team, advise CTOs and engineering leaders on Cloudflare solutions (Workers AI, R2, network security), drive new logo acquisition and account expansion, partner with Product/Customer Success/Solutions Engineering for go-to-market execution, and personally help close complex, high-value enterprise deals.
Top Skills: Cloudflare WorkersDeveloper PlatformsEdge InfrastructureIaasNetwork SecurityR2 StorageServerless ComputingWorkers Ai

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account