Senior Full Stack Engineer - Ship Production AI

Blank Metal Inc.; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Blank Metal Inc. is seeking a senior full‑stack engineer to design scalable services and ship production‑grade code across front‑end and back‑end stacks.

You’ll work with AWS/GCP/Azure environments and real‑time inference, collaborating with UX/Product and ML teams in a fast‑paced, client‑facing setting. You should have 5–8 years of experience, strong communication, and a passion for building high‑impact AI solutions.

Qualifications

• 5–8 years of full‑stack development experience with modern front‑end and cloud‑native back‑end stacks.
• Experience designing and operating systems in AWS, GCP, or Azure using Infrastructure as Code (Terraform/CDK).
• Solid understanding of security, performance tuning, and API versioning best practices.
• Comfortable in dynamic, client‑facing environments—startup or consulting experience preferred.
• Strong communicator and collaborator with a passion for building high‑impact solutions.

Responsibilities

• Design scalable service/micro‑service patterns, database schemas, caching layers, and authentication flows
• Ship production‑grade code across front‑end (React/TypeScript) and back‑end (Node, Go, or JVM) with strong test coverage
• Integrate model endpoints, manage real‑time inference, and implement robust error‑handling and fallback mechanisms
• Drive code‑review rigor, CI/CD pipeline health, and observability instrumentation
• Pair‑program, lead brown‑bag sessions, and advise junior engineers on technical decisions
• Collaborate with UX/Product, AI/ML Practice, and ML Ops teams to deliver client solutions
• Contribute to engineering best practices and help raise the team’s technical bar

Skills

Full-stack development

Cloud architectures AWS GCP Azure

Infrastructure as Code Terraform CDK

Security and performance tuning

Communication and collaboration

Job description

Blank Metal Inc. is seeking a senior full‑stack engineer to design scalable services and ship production‑grade code across front‑end and back‑end stacks.

You’ll work with AWS/GCP/Azure environments and real‑time inference, collaborating with UX/Product and ML teams in a fast‑paced, client‑facing setting. You should have 5–8 years of experience, strong communication, and a passion for building high‑impact AI solutions.