AI Engineer
Blank Metal · Minneapolis, MN · 3 mo ago
HybridInformation TechnologyFull-time
About the role
At Blank Metal, we are an AI-native engineering company that partners with enterprises to deliver production AI fast. Our team of seasoned engineers, designers, and strategists work across industries to create AI applications that actually get used and make a difference.
What You'll Do
- Design and implement end-to-end AI integrations: from LLM API selection to production deployment
- Architect AI-powered features that work reliably at scale
- Work independently on complex projects with minimal oversight
- Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems
- Integrate cloud AI services and build custom AI tooling when needed
- Ship production-grade code that balances quality and velocity
- Collaborate with designers, product managers, and other engineers
- Contribute to technical decisions and architectural discussions
- Mentor junior engineers when needed
Required Experience
- 2-5 years of professional software engineering experience
- Demonstrated production AI experience (LLM integrations, AI-powered features)
- Advanced full-stack development skills
- Experience with modern cloud platforms (AWS, GCP, or Azure)
- Strong backend and infrastructure development skills applied to real production systems
- Proven ability to ship complex features independently
Nice to Have Experience
- Experience with RAG (Retrieval-Augmented Generation) systems
- Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.)
- Experience contributing to frontend features using modern frameworks when needed
- Background with API design and system integration
- Understanding of prompt engineering best practices
- Experience with deployment and DevOps practices
- Exposure to agentic AI systems
Why You'll Love It
- 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