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Applied AI Product Engineer
VetsEZApplied AI Product Engineer in a remote role focusing on healthcare technology platforms and AI-driven solutions. Collaborate with teams to develop user-focused AI-enhanced products.
Posted 5/28/2026full-timeRemote • California, Pennsylvania, Washington • 🇺🇸 United StatesJuniorMid-LevelWebsite
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesPythonPyTorchScikit-LearnTensorflowTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Medical/Dental/Vision.
- 401k with Employer Match.
- PTO + Federal Holidays.
- Corporate Laptop.
- Training opportunities.
- Remote Opportunity.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScriptJavaScriptAI project deliveryAPI developmentMLOpsDevOpsAI workflowsprompt engineeringlarge language models
Soft Skills
communicationcollaborationanalytical skillsproblem-solvingindependent workadaptabilityteamworknavigating ambiguitytechnical challenge resolutionAgile environment
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringBachelor’s degree in Artificial IntelligenceBachelor’s degree in Data Science