AI Engineering Lead - Part-Time

The Leap; United States; Remote; USD 96,000 - 145,000; Part time

Job summary

The Leap is seeking a part-time AI Engineering Lead to own client engagements and share ownership of the product codebase. This fully remote role requires strong TypeScript/React/Next.js skills, hands-on AWS Bedrock experience, and a track record of delivering AI-native software across a MCP-driven monorepo.

You will align engineering scope with the product vision, shape architecture, and mentor internal tooling.

Qualifications

• 7+ years building software; senior or lead experience.
• Strong TypeScript, React and Next.js; backend and API design in Node.
• Hands-on AWS, including Bedrock; secure cloud infrastructure experience.
• Genuinely AI-native: agent frameworks, MCP design and coding workflow.
• Own quality end-to-end and ship without being chased.
• Confident client-facing English, written and spoken.
• Able to commit to a consistent schedule.

Responsibilities

• Own client scopes end to end, typically two to three weeks each.
• Set up architecture and codebase structure for client builds on AWS.
• Work on an MCP-first monorepo powering six AI agents with skills and tools.
• Harden internal tooling, including a knowledge repository and PM agents.
• Provide constraints on build time, QA needs, and release order.
• Join client kickoffs and working sessions as a technical voice.

Skills

TypeScript

React

Next.js

Node.js

AWS

Security best practices

Client-facing English

Schedule discipline

Tools

Bedrock (AWS Bedrock)

MCP framework

LangChain

Job description

About the job AI Engineering Lead - Part-Time

Our client is a US creative digital studio working at the intersection of music, culture and technology. Alongside client work for well-known consumer brands and national organizations, they build and run their own AI-native SaaS product in the music space.

They are looking for a part-time Technical Lead to work across both: owning client engineering engagements and taking shared ownership of the product codebase. This is a long-standing need — the founders are hands-on engineers who are now stretched across too many projects.

• Location: Fully remote
• Workload: Part-time, 20 hours per week
• Schedule: Minimum 4 hours of daily overlap with US Pacific Time
• Duration: Through February 2027, with potential extension
• Start date: As soon as possible

What you'll do:

• Own finite client scopes end to end, typically two to three weeks each, and plan ahead of them
• Set up the right architecture and codebase structure for client builds, including a security-constrained enterprise platform on AWS with Bedrock and multiple partner integrations
• Work on an MCP-first monorepo powering six AI agents with their own skills and tools, plus the UI layered over them — building features, fixing bugs, and pressure-testing scope against the product vision
• Take over and harden internal tooling, including a knowledge repository and purpose-built research and PM agents
• Come back to the team with real constraints: how long a build takes, how much QA it needs, what has to land first
• Join client kickoffs and working sessions as a technical voice

Must-have:

• 7+ years building software, with recent senior or lead experience
• Strong TypeScript, React and Next.js, with solid backend and API design in Node.
• Hands-on AWS, including Bedrock, and comfort standing up and securing cloud infrastructure (IAM, VPC, access control for enterprise clients)
• Genuinely AI-native: agent frameworks, tool and MCP design, and a considered agentic coding workflow
• Willing to own quality end-to-end, including your own bugs, without being chased
• Confident client-facing English, written and spoken
• Able to commit to a consistent schedule

Nice-to-have:

• Shopify or broader e-commerce build experience
• Supabase, Webflow, or working from Figma handoff
• LangChain or similar orchestration frameworks
• Large monorepo, refactor or migration experience
• Experience leading or delegating to other developers

What this role offers:

• Frontier AI work with a real roadmap: computer use is next, and a distilled in-house model is on the horizon
• A product in music and artist marketing, with campaign work for recognized artists and brands behind it
• Real ownership. Three principals, no PM layer, and an explicit invitation to push back on scope and phase the work
• Unusual variety: enterprise cloud architecture one week, an agentic product feature the next
• A part-time arrangement with scope to grow, including a direct-hire path if both sides want it