Software Product Engineer (Remote Opportunity)

VetsEZ•Tampa, FL

1d•Remote

About The Position

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and deploying AI-enabled applications that improve healthcare workflows, automate complex processes, and support data-driven decision-making. The engineer will work within a collaborative development environment to build scalable cloud-native systems and integrate modern AI capabilities into healthcare technology platforms. The ideal candidate is a hands-on engineer with experience building AI-driven services, integrating large language models, and developing secure, scalable applications that support mission-critical systems. The candidate must reside within the continental US.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
Minimum of 5 years of hands-on experience developing or deploying AI-enabled applications.
Experience developing cloud-native applications using AWS, Microsoft Azure, or Google Cloud Platform.
Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
Experience working with modern software development practices, including Git, CI/CD pipelines, containerization, and DevOps methodologies.
Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
Experience with JavaScript and/or TypeScript to support AI integrations within user-facing applications.
Hands-on experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar technologies.
Experience developing scalable, secure, and reliable cloud-based applications.
Familiarity with containerization technologies and cloud-native application development.
Demonstrated experience using AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
Strong analytical and problem-solving abilities.
Excellent verbal and written communication skills.
Ability to collaborate effectively within cross-functional engineering teams.
Strong attention to detail and commitment to delivering high-quality software solutions.
Ability to manage multiple priorities in a fast-paced development environment.

Nice To Haves

Experience deploying AI solutions within regulated environments such as healthcare or federal government systems.
Familiarity with healthcare interoperability standards including FHIR and HL7.
Experience with LLM orchestration frameworks, agent-based architectures, or intelligent automation platforms.
Experience with Docker, Kubernetes, or other container orchestration technologies.
Experience supporting Department of Veterans Affairs (VA) projects.
Ability to obtain and maintain a U.S. government clearance.

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 support intelligent automation and decision-making.
Build scalable microservices and REST APIs that support AI-driven workflows and data processing.
Develop data pipelines and services that process structured and unstructured data for intelligent applications.
Implement secure APIs and event-driven architectures that support system integration and AI-enabled services.
Optimize AI-powered applications for performance, reliability, scalability, and maintainability in cloud environments.
Collaborate with engineers, product teams, and stakeholders to translate business and AI requirements into deployable solutions.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.