Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale.
Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns.
Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making.
Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing.
Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications.
Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions.
Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
6+ years of professional software engineering experience, including experience designing and deploying AI-enabled systems in production environments.
Experience implementing CI/CD pipelines, containerized deployments, and DevOps best practices.
Experience designing and developing microservices, REST APIs, and distributed systems.
Demonstrated experience applying Test-Driven Development (TDD) methodologies and automated testing practices.
Strong experience with React, Node.js, and TypeScript.
Experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms.
Experience with AWS services including Amazon Aurora (PostgreSQL), ECS, SQS, S3, and related cloud-native technologies.
Experience building event-driven and data-intensive applications.
Experience with container technologies such as Docker and Kubernetes.
Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
Strong problem-solving and analytical skills.
Excellent verbal and written communication skills.
Ability to lead technical discussions and influence engineering decisions.
Demonstrated ability to mentor engineers and promote engineering best practices.
Strong collaboration skills with cross-functional teams and stakeholders.

Senior Software Product Engineer

Key skills