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AI Engineer
Blank MetalAI Engineer at Blank Metal developing production AI features and integrating LLM APIs for impactful applications. Collaborating with diverse teams to deliver measurable results in various industries.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI integrationsLLM API selectionproduction deploymentAI-powered featuresLLM frameworksvector databasesprompt engineeringfull-stack developmentbackend developmentinfrastructure development
Soft Skills
independent workcollaborationtechnical decision-makingarchitectural discussionsmentoring