Head of Engineering (Agentic AI)

Mindprint is Particle Execution's Agentic AI Workflow System Product

About Mindprint

Mindprint is building the future of AI agents — software that doesn't just retrieve information, but learns how you think. Our platform enables non-technical founders and small teams to build custom AI agents that get smarter over time, powered by memory, feedback loops, and task orchestration.

Head of Engineering

Your Mission

Take full ownership of engineering at Mindprint. Build and lead a high-performing technical team, establish systems that scale, and help us deliver cutting-edge AI infrastructure and simple-to-use interfaces — fast.

You'll work closely with the founding team and our development team to take what’s currently an MVP and turn it into a robust, scalable, and category-defining product.

What you'll be working on:

Technical Leadership

• Own the

  technical architecture and system design

  of the Mindprint platform — backend, frontend, data pipelines, agent orchestration, and memory subsystems.
• Make build vs. buy decisions for key infrastructure (e.g., Langchain vs LangGraph, orchestration tools, LLM services).
• Drive a

  modular architecture

  so agent components and memory mechanisms can evolve without rework.

Team Building

• Recruit, mentor, and lead a growing engineering team across backend, frontend, and AI layers.
• Create an

  engineering culture

  of ownership, speed, pragmatism, and continuous learning.
• Build systems to onboard, train, and level up junior/mid developers effectively.

Shipping at Speed

• Set and maintain a

  weekly shipping cadence

  aligned to product OKRs and GTM timelines.
• Collaborate tightly with Design, Product, and Prompt teams to deliver on aggressive sprints.
• Build fast and smart — prioritize MVP clarity, followed by tech debt cleanup in cycles.

Scaling the Agent & Memory Architecture

• Work closely with our Memory System Architect to build AI agents that are:
• Modular and dynamic
• Able to store and learn from user feedback
• Integrate with user tools (CRM, docs, Slack, etc.)

Your Stack & Tools

• Frontend

  : Next.js, TypeScript, Tailwind, ShadCN UI, Zustand

• Backend

  : Python, FastAPI, Celery, Docker

• Infra

  : AWS (EC2), PostgreSQL, Weaviate, Neo4j

• AI

  : OpenAI APIs, LangGraph, mem0, Retrieval-Augmented Generation (RAG)

• DevOps

  : GitHub, CI/CD pipelines

You don’t need to be hands-on with every tool — but you should have excellent technical breadth, and deep backend/system design experience.

What We’re Looking For

• 8+ years in software engineering, with 3+ years leading teams
• Strong experience

  scaling early-stage products

  from MVP → traction → scale
• Fluent in modern Python backend development, API architecture, and containerization
• Clear grasp of

  LLM-based systems

  , vector DBs, and orchestration logic (e.g., Langchain)
• You’re opinionated about good architecture, but pragmatic about tradeoffs
• You're comfortable moving fast in ambiguity — and you know how to bring order to chaos

Bonus Points

• Experience working with AI agent frameworks like CrewAI, Langchain, or Autogen
• Have shipped B2B SaaS or AI/LLM-based products
• You’ve built an engineering team from scratch, or scaled a small one
• You're excited by startups, ownership, and building something that changes how work happens
  

Role Details

• Full-time, remote
• Competitive early-stage salary

• Equity opportunity

• Hire and grow your team
• Direct access to founding team and shaping company strategy

Why Join Now?

• Be part of defining

  a new category of memory-powered AI agents

• Work with a

  visionary, fast-moving team

  who’ve already built and launched in stealth
• Get in early —

  help define the tech culture

  , systems, and standards from day one
• Ship fast, learn fast, and help

  build a generational company