Applied AI Product Engineer (Remote Opportunity)

Posted 4 Days Ago
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
Junior
Artificial Intelligence • Cloud • Information Technology • Machine Learning
The Role
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.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree in Computer Science or related field
  • 2+ years of professional experience in software engineering
  • Experience delivering 2-3 production-level AI projects
  • Programming proficiency in Python, TypeScript, or JavaScript
  • Experience with cloud platforms like AWS or Azure
  • Familiarity with machine learning frameworks
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The Company
HQ: San Diego, CA
144 Employees
Year Founded: 2012

What We Do

VetsEZ is a digital services firm with expertise in the rapid delivery of modern, user-centric, and data-driven digital solutions that helps the federal government serve our people better. We accelerate the missions of our federal partners through human-centered design (HCD), DevSecOps practices, and automation and by leveraging the power of artificial intelligence, machine learning, and cloud computing in public and private clouds. VetsEZ is a mature Service-Disabled, Veteran-Owned Small Business (SDVOSB), appraised at CMMI-DEV L3 and certified as an ISO 9001, ISO 20000-1, and ISO 27001 company. VetsEZ is a prime contractor on VA T4NG, NITAAC CIOSP3, SEC OneIT, and GSA MAS.

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