• Companies
  • News
By technology
  • Python14.3k
  • AWS10.2k
  • Kubernetes7.4k
  • Docker7.2k
  • PostgreSQL4.9k
  • C++4.8k
  • SQL4k
By category
  • Backend Developer11k
  • DevOps Engineer3.1k
  • Machine Learning Engineer3k
  • Full Stack Developer2.8k
  • Data Engineer2.5k
  • Embedded Engineer2k
  • Frontend Developer780
By city
  • San Francisco, CA5.8k
  • New York, NY5.1k
  • Seattle, WA1.2k
  • Toronto, ON893
  • Washington, DC857
  • Austin, TX800
  • Boston, MA795
Work mode
  • On-site19.4k
  • Remote8.6k
  • Hybrid5.1k
Job type
  • Full-time32.1k
  • Part-time446
  • Contract433
  • Freelance147
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

漏 2023-2026 . All rights reserved.

Logos provided by Logo.dev
All jobs

AI Engineer

Blank Metal 路 Minneapolis, MN

Extracted from the posting

Base
Not stated
Remote
On-site
Stack
Python, React, Node.js, .NET

Blank Metal seeks an AI Engineer to design and implement end-to-end LLM integrations and AI-powered features, from API selection to production deployment. The role involves working on client projects with designers, PMs, and engineers, mentoring junior engineers when needed. Stack includes LLM APIs (OpenAI, Anthropic), LangChain, vector databases, React, Python, Node.js, .NET, and AWS, GCP, or Azure.

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're an experienced engineer who ships production AI features with confidence. You understand how to integrate LLM APIs and AI services into robust applications, architect scalable AI-powered systems, and deliver high-impact features that clients depend on.


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

What We're Looking For

  • Production Expertise: Proven ability to ship production AI features end-to-end
  • LLM Mastery: Deep hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and frameworks like LangChain
  • Full-Stack Skills: Strong development across frontend (React/modern frameworks), backend (Python, Node.js, .NET), and infrastructure
  • System Design: Can architect AI integrations that scale, handle errors gracefully, and provide good user experiences
  • AI Tooling: Comfortable with vector databases, prompt engineering, embedding models, and emerging AI tools
  • Quality Focus: You care about code quality, testing, and building systems that users can rely on
  • Initiative: You identify problems, propose solutions, and drive projects to completion

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 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 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

In your role, you'll:

  • Ship production AI features with minimal guidance
  • Own the technical direction of AI integrations on your projects
  • Become the go-to expert on AI architecture and tooling
  • Help raise the bar for how the team approaches AI engineering
  • Build a track record of high-impact, reliable AI systems
  • Grow as a leader by mentoring other engineers


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.


Technologies

PythonReactNode.js.NETLangChainOpenAI APIAnthropic APIAWSGCPAzurePineconeWeaviate
Blank Metal
Blank Metal
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location馃嚭馃嚫Minneapolis, MN
PostedNov 06, 2026
Apply Now

Related jobs

Wisp

Senior Software Engineer

Wisp
$135,000 - $185,000United StatesRemote 路 Full-timePython 路 Flask 路 Django
PrairieLearn, Inc.

Full-Stack Software Engineer

PrairieLearn, Inc.
$100,000 - $180,000United StatesRemote 路 Full-timeTypeScript 路 Node.js 路 PostgreSQL
Metal

Forward Deployed Engineer - Strategic Account

Metal
$150,000 - $240,000馃嚭馃嚫 New York, NY +1On-site 路 Full-timeSalesforce 路 DealCloud 路 SharePoint