Job Description

Job Title: AI Software Developer

Tenure: Long-Term

Work Week: 37.5 hours

Work Location: 100 Hancock St, Quincy, MA (Hybrid).

On-Site Requirements:

• Accessible by public transportation
• No contractor parking available
• Must sign a Telework Agreement

Position Summary:

As an AI Software Developer , you will be responsible for maintaining and enhancing an existing AI-driven chatbot application hosted on AWS. This role involves implementing new features, addressing bugs, strengthening security, ensuring accessibility compliance, and improving overall application performance. You'll contribute to a high-impact, visible initiative within, opportunities to work on multiple AI applications across the organization.

Key Responsibilities:

• Enhance chatbot functionality using AWS Bedrock, Amazon Kendra, and AWS Comprehend.
• Fix bugs and optimize chatbot performance and responsiveness.
• Address security vulnerabilities and ensure FedRAMP compliance.
• Refactor code and enforce best coding practices including automated code reviews.
• Improve accessibility to comply with ADA, WCAG, and industry standards.
• Implement real-time features using WebSockets.
• Enhance and refactor APIs using AWS Lambda, API Gateway, and CDK.
• Improve chatbot front-end (React, TypeScript) for better UX.
• Strengthen authentication/authorization with Amazon Cognito.
• Optimize performance using CloudFront, DynamoDB, and caching strategies.
• Review and resolve findings from SAST tools.
• Collaborate with security and DevOps teams on secure software practices.
• Support additional AI applications within MassHealth as needed.
• Triage and respond to production issues and user feedback.

Required Skills & Qualifications:

• 3+ years of experience in software development with a focus on AWS.
• Proficiency in Python and JavaScript (Node.js or TypeScript).
• In-depth knowledge of AWS services: Lambda, API Gateway, Cognito, CloudFront, Kendra, Bedrock, Comprehend, and CloudFormation.
• Experience with WebSockets and real-time app development.
• Familiarity with FedRAMP, secure coding, and vulnerability remediation.
• Experience refactoring legacy code and improving code quality.
• Ability to implement and maintain automated code review tools.
• Strong understanding of WCAG and accessibility standards.
• Experience with AWS CDK and infrastructure as code.
• Agile development experience and strong collaboration skills.
• Ability to support AI applications and contribute to documentation quality.

Dheeraj Kumar. R

Kellton Inc.

E-mail: dheeraj.kumar1@kellton.com

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