Full Stack Software Engineer

Full Stack Software Engineer
Work Location: locations: Reston VA & Plano TX (Day one Onsite)
Hire Type: Contract

Must-Have Skills:
Amazon CloudFront
Angular
AWS Fargate
Java
GitHub Copilot
XML
Java AWS
Python
AI/GenAI

Description:
We are seeking a highly skilled Senior Full Stack Engineer with deep expertise in modern web development cloud-native architecture and applied AI/GenAI technologies.
This role requires a hands-on engineer who can design build and scale end-to-end solutions while leveraging AI to enhance productivity code quality and innovation.
Key Responsibilities:
Design develop and maintain scalable full-stack applications using Java (Spring Boot) Python and Angular.
Architect and deploy cloud-native solutions on AWS (e.g. Lambda ECS/EKS S3 API Gateway DynamoDB RDS).
Integrate and apply AI/GenAI capabilities (e.g. GitHub Copilot ChatGPT LLM-based tools) into the software development lifecycle
Leverage Large Language Models (LLMs) and agentic workflows to accelerate development automate tasks and improve system capabilities
Use AI tools to generate code create unit and automation tests and enhance code quality through AI-assisted reviews
Collaborate in AI-assisted and human peer review processes to ensure high standards of code quality and maintainability
Translate business requirements into technical solutions with a strong understanding of both business and technology domains
Mentor and guide junior developers while contributing as an independent hands-on engineer.
Required Qualifications:
7 years of experience in full-stack software engineering.
Strong proficiency in Java Python and Angular.
Hands-on experience building and scaling applications on AWS.
Practical experience using AI/GenAI tools (e.g. GitHub Copilot ChatGPT) in day-to-day development.
Solid understanding and experience working with LLMs and agent-based architectures.
Experience with AI-driven code generation automated testing and code review processes.
Strong problem-solving skills with the ability to work independently and lead initiatives.
Proven ability to mentor junior engineers and contribute to a collaborative team environment.
Preferred Qualifications:
Experience designing AI-powered applications or integrating LLM APIs.
Familiarity with CI/CD pipelines DevOps practices and test automation frameworks.
Knowledge of microservices architecture and distributed systems.