Virginia Staffing
Full Stack AI Developer
We are seeking a Full Stack AI Developer to join our team and help build and scale AI-driven applications. This role requires expertise in designing and deploying secure, cloud-native AI solutions. The ideal candidate will bring strong skills in AWS Bedrock, Next.js, and DevSecOps, with a focus on implementing security best practices across the stack to meet both mission-critical federal requirements and commercial enterprise needs. Key Responsibilities: Architect, design, and deliver end-to-end AI-powered applications leveraging AWS Bedrock. Develop secure, high-performing front-end features and UIs with Next.js and modern JavaScript/TypeScript. Implement and harden back-end services, APIs, and serverless solutions in AWS. Build and maintain CI/CD pipelines (GitHub Actions or similar) with integrated security controls. Automate infrastructure provisioning with CloudFormation or Terraform using secure-by-default configurations. Apply DevSecOps practices to support compliance with federal standards (FISMA, NIST SP 800-53, FedRAMP, and CMMC) and commercial frameworks (NIST CSF, SOC 2, ISO/IEC 27001, PCI DSS, CCPA, and GDPR). Conduct secure coding, peer reviews, and vulnerability remediation. Monitor, debug, and optimize applications for performance, scalability, and security posture. Collaborate with UI/UX, Data Science, and DevOps teams in an Agile/Scrum environment. Continuously research and apply emerging LLM/AI security considerations, adversarial AI risk mitigation strategies, and advancements in AWS services. Required Qualifications: Bachelor's degree in Computer Science or related field. Proven full stack development experience across both front-end and back-end. Hands-on expertise with AWS Bedrock and large language model (LLM) integration. Proficiency in Next.js, JavaScript/TypeScript, HTML, CSS. Experience with CI/CD pipelines and GitHub/GitHub Actions. Strong background in CloudFormation or Terraform for infrastructure-as-code. Familiarity with secure coding standards (OWASP, CWE/SANS). Experience implementing identity and access management, API security, and encryption best practices. Strong understanding of Agile development methodologies. Preferred Qualifications: Experience with multi-tenant SaaS architectures (tenant isolation, RBAC). Hands-on experience with AWS Cognito (User Pools, Groups, authentication flows) and NextAuth.js for secure OAuth2/OIDC. Familiarity with DynamoDB advanced design patterns (two-table design, GSI, TTL, session persistence). Strong TypeScript (strict mode) experience. Proficiency in Tailwind CSS, shadcn/ui, Radix UI for modern, responsive UI development. Experience with real-time applications (streaming chat, citation traceability). Familiarity with AWS S3 for secure file/document storage. Knowledge of monitoring and observability (CloudWatch, Sentry, custom metrics). AWS Certifications preferred, including: AWS Certified AI Practitioner AWS Certified Solutions Architect Associate/Professional AWS Certified Machine Learning Specialty AWS Certified Security Specialty AWS Certified DevOps Engineer Professional Strong problem-solving, communication, and collaboration skills. DOD Secret clearance or higher. Security & Compliance Environment: This position requires developing solutions that meet the highest standards of security and compliance across both federal and commercial sectors. Developers will contribute to applications aligned with frameworks such as FISMA, NIST SP800-53, FedRAMP, and CMMC for government use, while also adhering to commercial compliance standards, such as NIST CSF, SOC 2, ISO/IEC 27001, PCI DSS, CCPA, and GDPR. Experience in secure software development lifecycle (SSDLC), zero-trust architectures, and continuous monitoring is highly valued. What We Offer: Opportunity to work on cutting-edge AI/LLM projects with real-world impact across federal and commercial markets. Collaborative, innovation-driven team culture. Professional growth through continuous learning in AI, cloud, and cybersecurity. Benefits: Competitive benefits package including health, dental, vision, life insurance coverage, 401(k) plan, training programs, accrued paid time off (PTO), performance based monthly & quarterly awards, paid holidays and customer kudo rewards. Equal Opportunity Employer/Veterans/Disabled
We are seeking a Full Stack AI Developer to join our team and help build and scale AI-driven applications. This role requires expertise in designing and deploying secure, cloud-native AI solutions. The ideal candidate will bring strong skills in AWS Bedrock, Next.js, and DevSecOps, with a focus on implementing security best practices across the stack to meet both mission-critical federal requirements and commercial enterprise needs. Key Responsibilities: Architect, design, and deliver end-to-end AI-powered applications leveraging AWS Bedrock. Develop secure, high-performing front-end features and UIs with Next.js and modern JavaScript/TypeScript. Implement and harden back-end services, APIs, and serverless solutions in AWS. Build and maintain CI/CD pipelines (GitHub Actions or similar) with integrated security controls. Automate infrastructure provisioning with CloudFormation or Terraform using secure-by-default configurations. Apply DevSecOps practices to support compliance with federal standards (FISMA, NIST SP 800-53, FedRAMP, and CMMC) and commercial frameworks (NIST CSF, SOC 2, ISO/IEC 27001, PCI DSS, CCPA, and GDPR). Conduct secure coding, peer reviews, and vulnerability remediation. Monitor, debug, and optimize applications for performance, scalability, and security posture. Collaborate with UI/UX, Data Science, and DevOps teams in an Agile/Scrum environment. Continuously research and apply emerging LLM/AI security considerations, adversarial AI risk mitigation strategies, and advancements in AWS services. Required Qualifications: Bachelor's degree in Computer Science or related field. Proven full stack development experience across both front-end and back-end. Hands-on expertise with AWS Bedrock and large language model (LLM) integration. Proficiency in Next.js, JavaScript/TypeScript, HTML, CSS. Experience with CI/CD pipelines and GitHub/GitHub Actions. Strong background in CloudFormation or Terraform for infrastructure-as-code. Familiarity with secure coding standards (OWASP, CWE/SANS). Experience implementing identity and access management, API security, and encryption best practices. Strong understanding of Agile development methodologies. Preferred Qualifications: Experience with multi-tenant SaaS architectures (tenant isolation, RBAC). Hands-on experience with AWS Cognito (User Pools, Groups, authentication flows) and NextAuth.js for secure OAuth2/OIDC. Familiarity with DynamoDB advanced design patterns (two-table design, GSI, TTL, session persistence). Strong TypeScript (strict mode) experience. Proficiency in Tailwind CSS, shadcn/ui, Radix UI for modern, responsive UI development. Experience with real-time applications (streaming chat, citation traceability). Familiarity with AWS S3 for secure file/document storage. Knowledge of monitoring and observability (CloudWatch, Sentry, custom metrics). AWS Certifications preferred, including: AWS Certified AI Practitioner AWS Certified Solutions Architect Associate/Professional AWS Certified Machine Learning Specialty AWS Certified Security Specialty AWS Certified DevOps Engineer Professional Strong problem-solving, communication, and collaboration skills. DOD Secret clearance or higher. Security & Compliance Environment: This position requires developing solutions that meet the highest standards of security and compliance across both federal and commercial sectors. Developers will contribute to applications aligned with frameworks such as FISMA, NIST SP800-53, FedRAMP, and CMMC for government use, while also adhering to commercial compliance standards, such as NIST CSF, SOC 2, ISO/IEC 27001, PCI DSS, CCPA, and GDPR. Experience in secure software development lifecycle (SSDLC), zero-trust architectures, and continuous monitoring is highly valued. What We Offer: Opportunity to work on cutting-edge AI/LLM projects with real-world impact across federal and commercial markets. Collaborative, innovation-driven team culture. Professional growth through continuous learning in AI, cloud, and cybersecurity. Benefits: Competitive benefits package including health, dental, vision, life insurance coverage, 401(k) plan, training programs, accrued paid time off (PTO), performance based monthly & quarterly awards, paid holidays and customer kudo rewards. Equal Opportunity Employer/Veterans/Disabled