Full-Stack Developer with Agentic AI

Responsibilities

• Leverage advanced agentic AI tools to quickly add new functionality into existing code stacks within large, complex programs.
• Made quick, high-impact contributions to strategically critical projects across LMI’s portfolio, ensuring program success and delivering measurable results.
• Collaborate with development teams, stakeholders, and technical leads to identify pain points in existing systems and implement solutions in an agile environment.
• Transition seamlessly between programs, applying technical expertise to prioritize and address the highest-impact initiatives.
• Analyze customer requirements and program objectives to develop innovative solutions that align with mission needs.
• Work within multidisciplinary teams to facilitate integrations, resolve technical challenges, and adhere to development timelines.
• Ensure compliance with security protocols, government standards, and industry best practices across all projects.
• Document technical solutions and improvements for knowledge transfer between teams and programs.
• Conduct rigorous testing to guarantee performance, scalability, and reliability of updated or newly developed code.

Qualifications

• Minimum Qualifications: Eligibility for a security clearance is required. Active Secret clearance preferred. 3-5 years applying dev in a production environment.
• Experience with agentic AI coding tools: Demonstrated proficiency using tools to enhance existing code stacks at scale.
• Proven full-stack development experience: Minimum of 3–5 years in developing, maintaining, and improving front-end and back-end systems.
• Knowledge of programming languages: Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred).
• Experience with API development: Familiarity with developing and consuming RESTful APIs for integration across systems.
• Familiarity with SQL and NoSQL databases: Strong foundational skills for managing data within relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) environments.
• Agile methodologies: Experience working in agile environments, including the ability to work collaboratively with multidisciplinary teams.
• Version control proficiency: Comfortable using Git (GitLab preferred) for code development and collaboration.
• Experience with testing, security, DevSecOps, and CI/CD processes: Proficient in integrating with automated testing frameworks, following security protocols, and following secure, continuous integration/continuous deployment pipelines.
• Strong communication skills: Capable of clearly articulating technical concepts and solutions to both technical teams and non-technical stakeholders.

Desired Skills

• Advanced proficiency in agentic AI tools: Extensive experience utilizing tools to optimize coding workflows and integrate advanced AI functionality.
• Experience with cloud environments: Familiarity with AWS, Azure, or Google Cloud for developing and deploying cloud-based applications.
• Microservices architecture: Experience in designing and implementing microservices and containerized solutions (e.g., Docker, Kubernetes).
• UI/UX design skills: Knowledge of modern front-end frameworks like React, Vue.js, or Angular to enhance user interface and experience.
• Knowledge of DevSecOps practices: Comprehensive understanding of secure development and deployment pipelines, including infrastructure-as-code tools like Terraform or Ansible.
• Data engineering: Experience with ETL tools, data pipeline management, and real-time analytics platforms.
• Security certifications: Certifications such as Security+ or CISSP are highly desirable.
• Experience with Agile frameworks: Advanced knowledge of Agile or SAFe methodologies, including participation in sprint planning and ceremonies.