Full-Stack Software Engineer – AI/ML & Media Operations

Description

We are seeking a Full-Stack Software Engineer to join an award-winning Custom Media Operations team driving media capabilities across the Intelligence Community. In this role, you will develop full-stack web applications that connect advanced AI/ML capabilities with their end users, and gain hands-on experience building solutions within the state-of-the-art AI/ML landscape.

On a small, high-impact team you will own products through their entire lifecycle—from initial ideation to full production deployment—and take full ownership of their success alongside business leaders and AI/ML engineers.

Responsibilities

• Build and maintain full-stack applications in collaboration with business leaders and AI/ML engineers providing custom media operations.
• Partner with AI/ML engineers, senior stakeholders, and business users to understand complex operational challenges and translate them into robust technical solutions.
• Rapidly prototype and pilot cutting-edge capabilities to meet customers' evolving needs.
• Optimize system usability and workflow efficiency by collaborating with end-users to define and refine interaction paths that reduce mission operation friction.
• Track the latest developments in the AI/ML landscape and identify opportunities to operationalize them.

Skills Requirements

• Proven ability to take a project from initial concept and scoping through iterative development, rigorous testing, and final deployment.
• Highly self-directed, with experience decomposing work into features and actions with minimal oversight.
• Experience conducting direct user research, iterating on new capabilities based on user feedback, and solving real-world operational pain points.
• Extensive experience building applications in JavaScript, including Node.js and TypeScript, and UI frameworks/libraries such as React and Material UI.
• Experience with Linux (especially Ubuntu and Amazon Linux) and Docker.
• Working knowledge of NoSQL databases, specifically MongoDB.
• Experience managing CI/CD build pipelines within GitLab.

Nice to Haves

• Experience with Java/Spring Boot and Python/Flask.
• AWS Certified CloudOps Engineer, or general experience managing software infrastructure in AWS.
• Certified Kubernetes Application Developer, or general experience managing applications on Kubernetes.
• Experience with multimedia and 3D modeling tools such as Cinema4D, Blender, Unreal Engine, GIMP, Adobe Photoshop, or Adobe Illustrator.
• Basic literacy in AI concepts and familiarity with the ML development process.
• Experience using AI coding assistants such as OpenCode or Copilot.

Compensation & Employment Policy

Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $160,000 – $190,000 (annualized USD).

Benefits Overview

At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance:

• Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents
• Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents
• 401(k): 15% company contribution (no match required)
• PTO: 160 hours, increasing with seniority
• 12 Floating Holidays
• 4 Code Red Days

About Us

Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.