Junior Level Software Engineer, Full Stack and Generative AI

Title: Jr. Fullstack Developer GenAI

Location : Rockville, MD

Target Start Date : ASAP

Type: contract

Pay Rate: DOE

Full Stack Development

• Develop and maintain full stack applications supporting enterprise workflows, data analysis, and reporting
• Build RESTful APIs using backend frameworks such as Java/Spring Boot and Python/FastAPI
• Develop responsive and accessible user interfaces using Angular and TypeScript
• Collaborate with cross-functional teams including data engineering, security, and business stakeholders to translate business requirements into technical solutions
• Utilize AI-assisted development tools responsibly while maintaining code quality and security best practices

Quality Assurance & CI/CD

• Support CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins
• Implement automated testing including unit, integration, and end-to-end testing within delivery pipelines
• Work with containerized deployments using Docker and Kubernetes

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 2–4 years of professional software engineering experience
• Proficiency in one or more backend languages such as Python or Java
• Experience with modern frontend frameworks, particularly Angular, and TypeScript
• Familiarity with CI/CD pipelines and version control workflows using Git
• Basic understanding of containerization technologies such as Docker and cloud platforms including AWS
• Experience with relational databases such as PostgreSQL and/or NoSQL databases
• Understanding of application security principles including OWASP Top 10, secrets management, and least-privilege access

Preferred Qualifications

• Experience working in enterprise or highly regulated environments
• Familiarity with AWS managed services including Lambda, ECS, S3, and RDS
• Exposure to event-driven architectures and messaging systems such as Kafka or AWS SQS/SNS
• Basic knowledge of LLM APIs, AI-assisted development tools, or AI/ML model integration
• Experience with automated testing frameworks such as Jest, Jasmine, JUnit, or PyTest

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