Job Title: AI Software Developer
Location: Quincy, MA (Hybrid – On-site as required)
Duration: 6 Months (Tentative)
We are seeking an experienced AI Software Developer to enhance and maintain a robust AI-powered chatbot web application hosted on AWS. The developer will focus on adding features, improving accessibility, fixing bugs, optimizing performance, and ensuring secure, high-quality code aligned with FedRAMP and industry standards.
This role supports mission-critical applications within a large public sector environment that serves a significant portion of the state’s population.
Enhance chatbot features using AWS Bedrock, Amazon Kendra, and AWS Comprehend.
Optimize performance and improve accessibility per ADA and WCAG guidelines.
Address bugs and resolve security vulnerabilities to support FedRAMP compliance.
Refactor code and enforce secure coding best practices.
Implement real-time improvements using WebSockets.
Improve and maintain APIs with AWS Lambda, API Gateway, and AWS CDK.
Enhance UI/UX using React and TypeScript.
Strengthen authentication via Amazon Cognito.
Support performance and scalability through CloudFront, DynamoDB, and other AWS services.
Collaborate with cross-functional teams in an Agile environment.
Assist in maintaining accuracy and performance during rollout phases and production support.
Contribute to additional AI application projects as needed.
3+ years of experience in software development with a strong focus on AWS.
Proficiency in Python and JavaScript (Node.js or TypeScript).
Hands-on experience with AWS tools: Lambda, API Gateway, Cognito, CloudFront, CloudFormation, Kendra, Bedrock, and Comprehend.
Experience with WebSockets and real-time communication.
Solid understanding of FedRAMP, SAST, and security compliance standards.
Familiarity with accessibility standards (WCAG).
Experience using AWS CDK for infrastructure as code.
Strong problem-solving skills and experience working in Agile/Scrum environments.
Passion for building high-quality AI-powered applications and improving documentation standards.