Blank Metal
AI

Associate AI Engineer

Blank Metal · Minneapolis, MN

Actively hiring Posted 4 months ago

About Blank Metal
Blank Metal is an AI-native engineering company that partners with enterprises to deliver production AI fast. We blend strategic insight with hands-on execution, shipping high-impact systems that turn AI initiatives into measurable business results.

We're builders, not theorists. Our team of seasoned engineers, designers, and strategists work across industries to create AI applications that actually get used and make a difference.

The Role
You'll join our team as an Associate AI Engineer, diving into full-stack development with a growing focus on AI integration. This is the perfect opportunity to accelerate your AI expertise while building production systems alongside experienced engineers.

What You'll Do

  • 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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.