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Software Product Engineer
VetsEZSoftware Product Engineer developing AI-enabled healthcare applications for federal government project. Collaborating with cross-functional teams to build cloud-native systems and integrate AI capabilities.
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaScriptMicroservicesPythonTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Medical, Dental, and Vision Insurance.
- 401(k) with Employer Match.
- Paid Time Off (PTO) and Federal Holidays.
- Corporate Laptop.
- Professional Development and Training Opportunities.
- 100% 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
PythonLarge Language Models (LLMs)REST APIsmicroservicesdata pipelinescloud-native architecturesAI APIscontainerizationDevOps methodologiesCI/CD pipelines
Soft Skills
analytical abilitiesproblem-solvingverbal communicationwritten communicationcollaborationattention to detailtime managementadaptabilityteamworkcommitment to quality
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in Artificial Intelligence