Software Product Engineer
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Job Description
AI Engineer developing AI applications that improve healthcare workflows and automate processes. Collaborating to build scalable systems with modern AI capabilities in a cloud environment.
Responsibilities:
- Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
- Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
- Build scalable microservices and APIs that support AI-driven workflows and data processing.
- Develop pipelines and services that process structured and unstructured data to support intelligent applications.
- Implement secure APIs and event-driven architectures that support data integration and AI-enabled services.
- Optimize AI-powered applications for performance, reliability, and scalability in cloud environments.
- Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions.
- 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, or a related technical discipline.
- 5 years of hands-on experience developing or deploying AI-enabled applications.
- Demonstrated experience with Cursor, GitHub Copilot, OpenAI Codex or Claude Code.
- Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
- Hands-on knowledge of JavaScript/ TypeScript for integration of AI into existing UI/ UX workflows
- Hands-on experience integrating Large Language Models (LLMs) or AI APIs (such as OpenAI, Bedrock, Claude, or similar) into production environments.
- Experience developing cloud-native applications using platforms such as AWS, Azure, or Google Cloud.
- Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
- Experience working with modern development practices including Git, CI/CD pipelines, containerization, and DevOps workflows.
- Strong analytical and problem-solving abilities with the ability to troubleshoot complex systems.
- Effective communication and collaboration skills within cross-functional engineering teams.
- Strong attention to detail and commitment to building reliable, high-quality software solutions.
Benefits:
- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training Opportunities
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