Associate AI Engineer

Blank MetalMinneapolis, MN
6h

About The Position

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. 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.

Requirements

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

  • 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

Responsibilities

  • 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

Benefits

  • 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
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