Applied AI Product Engineer (Remote Opportunity)

VetsEZ

$100K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related discipline.
  • 2+ years of experience in software engineering or full-stack development.
  • Experience delivering 2-3 production-level AI projects with AI development tools.
  • Proficiency in programming languages like Python, TypeScript, or JavaScript.
  • Experience integrating and implementing large language models (LLMs).
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes).
  • Strong problem-solving and communication skills, with the ability to work independently.

Responsibilities

  • Design and implement AI-powered features in healthcare platforms.
  • Develop full-stack applications using modern AI engineering tools.
  • Collaborate with teams to deliver user-focused solutions improving patient engagement.
  • Create APIs and backend services for intelligent product deployments.
  • Apply software engineering best practices in AI testing and optimization.
  • Research emerging AI technologies and product engineering frameworks.
  • Navigate technical challenges and work effectively in a remote Agile environment.

Benefits

  • Medical/Dental/Vision coverage.
  • 401k plan with employer match.
  • Paid time off plus federal holidays.
  • Corporate laptop provided.
  • Access to training opportunities.
  • Fully remote work arrangement.
Full Job Description
EZ Labs is seeking an Applied AI Product Engineer to join our growing team in a 100% remote role supporting the development of intelligent healthcare technology 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.

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