Applied AI Product Engineer
V
VetsEZHealthcare Technology
The candidate must reside within the continental US.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- AWSDockerPythonJavascriptKubernetesTypeScriptLLM
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 platforms.
- Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages.
- 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.
- Experience with containerization and deployment technologies such as Docker and Kubernetes.
- Strong communication, collaboration, analytical, and problem-solving skills.
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.
- Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities.
- 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.
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