Full Stack AI Engineer

Maigrate • Lawrence, NY

11h • Hybrid

About The Position

Maigrate is an AI consulting and transformation firm that partners with mid-market companies to identify, build, and implement AI solutions that drive real business outcomes. We don't just hand over a strategy deck and walk away - we get deep into our clients' operations, learn their bottlenecks, and build what actually moves the needle. We are early-stage, growing fast, and assembling the team that will set the standard for how companies adopt AI. The engineers who join now won't just build the product - they'll help shape how we operate and what we become. If you want to see the direct impact of what you ship and be part of building something from the ground up, we want to hear from you. "This is an in-person role based out of our Lawrence, NY office, with hybrid flexibility."

Requirements

• 3-5+ years of professional experience writing production-grade software
• Strong command of at least one modern language - Python or TypeScript preferred; Ruby, Java, or Go considered with strong experience
• Genuine interest in AI - you use it, you think about it, and you're excited to build with it
• Startup DNA - you're flexible, you take ownership, and you're comfortable with ambiguity
• Authorized to work in the US; able to work EST hours

Nice To Haves

• AWS experience - Lambda, DynamoDB, SQS
• Infrastructure-as-code tooling - Terraform, CDK, Pulumi, SST, Ansible, or Cloudformation
• Experience at both a startup and a larger company
• Degree in CS or engineering - or equivalent experience that got you there

Responsibilities

• Build and own full-stack features across our product - from the UI to the backend to the infrastructure it runs on
• Build AI-powered systems and help shape how we integrate them into client workflows
• Make smart tradeoffs under uncertainty - sometimes the right solution isn't writing more code
• Take ownership from design through deployment, and live with the outcomes of your decisions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree