Junior Applied AI Engineer

Job not on LinkedIn

10 hours ago

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🤖 AI Engineer

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Redhorse Corporation

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Artificial Intelligence • Cybersecurity • Government

Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

📋 Description

• Build and ship prototypes using modern AI models and tools. • Develop full-stack demo applications — sometimes from scratch, sometimes by extending existing work. • Explore new technologies (papers, repos, tools) and turn research into actionable recommendations. • Support customer-facing demos by helping refine, polish, and present prototype capabilities. • Create internal tools and resources that raise the AI fluency of teams across the company. • Collaborate with internal groups to help them understand and apply AI effectively.

🎯 Requirements

• Security clearance: Must be eligible for and interested in getting a US Security Clearance • Programming languages: Python and modern JavaScript/TypeScript (React or Next.js experience is a plus) • AI-assisted coding experience: Experience with at least one tool like Cursor, Claude Code, OpenHands, Antigravity, Windsurf, Devin, or Factory AI. • LLM Familiarity: Opinions on major model providers and hands-on experience with at least one LLM API. • Applied Research: Ability to read ML/AI papers or repos and implement ideas from them. • Engineering skills: Git proficiency and experience deploying apps (cloud, Vercel, etc.) • Full-stack capability or aptitude: You can build and deploy an app end-to-end (or learn fast enough to get there quickly).

🏖️ Benefits

• Real experience building AI prototypes for government missions. • A deep, hands-on foundation in applied AI engineering. • Mentorship from experienced senior technical leaders. • Opportunities to contribute across research, engineering, demos, and training.