# M1 - AI Engineering Lead at SPiN

- Company: SPiN
- What the company does: Space Products and Innovation spins technology into the space industry to simplify manufacturing. SPiN enables rapid, flexible, and cost-effective satellite designs through modularity, enabled by the combination of MA61C, its plug-and-play intelligent data... Backed by Techstars.
- Company website: https://spinintech.com
- Type: Startups (AI role)
- Level: Senior
- Location: México
- Work setup: On-site
- Posted: 2026-11-05
- Apply by: 2026-12-20
- Apply: https://job-boards.greenhouse.io/spin/jobs/4750912005?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/spin-m1-ai-engineering-lead/

## About the role

We are seeking an AI Engineering Lead to join our AI Products Chapter and lead a team of AI Engineers that builds, deploys, and operates production-grade AI agents and agentic systems across Spin’s multi-business ecosystem. This is a technical people-leadership role: you combine the credibility of a hands-on engineer, comparable to Staff level, with accountability for delivery, quality, and the growth of your team. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Seniority: proven experience leading engineering teams while staying technically hands-on (M1 level), with technical depth comparable to IC5/Staff
- Evidence of production, not proofs of concept: you have shipped and operated an AI agent, copilot, or agentic system serving real users, and can speak concretely about what broke, how you found out, and how you fixed it
- People leadership: you have managed, coached, and grown engineers up to Sr level, handled performance conversations, and built a healthy team culture
- Hands-on experience with agent frameworks/orchestrators (e.g., LangGraph, LangChain, or equivalent), LLM provider APIs (Claude, OpenAI, Gemini), vector databases, and eval frameworks
- A strong software engineering foundation: you can review code and architecture and reason about an agent as a distributed system with failure modes, not just a model call
- Judgment on trade-offs particular to agentic systems: latency vs. quality, autonomy vs. control, cost vs. accuracy

Tags: Departamento Genérico -...

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/spin-m1-ai-engineering-lead/