• Develop full‑stack features that integrate AI‑driven functionality into production applications
• Learn how to work with modern AI tools and frameworks such as orchestration, vector stores, and advanced prompting techniques
• Build features end‑to‑end: frontend, backend, and integration layers
• Collaborate with senior engineers to ship user‑facing functionality that includes AI components
• Contribute to building the next generation of intelligent, AI‑enhanced applications
• Participate in code reviews and technical discussions
• Learn best practices for delivering reliable, production‑ready AI systems

What We're Looking For

• Foundation: Strong full-stack development skills (e.g. React/TypeScript on frontend, Next.js, Node, .NET, Python on backend)
• AI Curiosity: Genuine interest in LLMs, AI APIs (OpenAI, Anthropic, etc.), and emerging AI tools
• Fundamentals: Basic understanding of ML concepts and how modern AI models work
• Learning Mindset: Excited to master agent orchestration, vector databases, prompt engineering, and AI integration patterns
• Collaboration: You thrive working alongside experienced engineers and learning from their expertise
• Shipping Mentality: You want to build things that actually work in production

Required Experience

• 0-2 years of professional software engineering experience
• Proficient backend and infrastructure development skills applied to real production systems
• Familiarity with cloud platforms (AWS, GCP, or Azure)

Nice to Have

• Experience contributing to frontend features using modern frameworks when needed
• Experience with APIs and integration work
• Exposure to LLMs or AI tools (even personal projects)
• Understanding of databases and data structures
• Deployed applications to production

Why You'll Love It Here

• Build AI that ships: every project ends in a live deployment, not a slide deck
• Craft meets velocity: we obsess over quality while delivering at startup speed
• Outcome-driven model: our projects align with client success, not billable hours
• AI-native culture: you'll work with peers who deeply understand modern AI's potential and limits
• Real collaboration: open conversations, shared ownership, and space to bring your voice and creativity

What Success Looks Like Within your first year, you'll:

• Independently contribute to production AI features
• Master the core patterns of LLM integration and AI tooling
• Ship multiple features that combine full-stack and AI components
• Earn the trust of your team to work with minimal oversight
• Build a strong foundation for growth as an AI engineer

Equal Opportunity Blank Metal is proud to be an equal opportunity employer. We welcome all backgrounds and perspectives. Diversity makes our work better and our team stronger.