Particle Execution

About Us Mindprint is the latest product from Particle Execution , a company building custom AI automations and agents for fast-scaling businesses. We're on a mission to bring judgment and memory to AI. We’re currently rolling out a suite of AI Agents capable of handling real tasks like writing platform-native content, syncing with CRMs, and managing client briefs. Underneath it all is a powerful memory system that learns from your feedback and context - making agents smarter over time. We’ve just launched to our first paying customers and are scaling fast. The Role We’re looking for a senior backend engineer who can build the next layer of our agent infrastructure - specifically: Architecting and scaling agent workflows (LangGraph or LangChain-style) Architecting and scaling our products backend Designing APIs that support dynamic, memory-augmented agents Integrating with 3rd-party tools like CRMs, Slack, Notion, Google Drive Helping productionize memory (vector DBs + custom feedback logic) You’ll work closely with our Software Development team, Product Designer, AI automation engineers, and product founders - shipping fast, learning from users, and iterating quickly. What You’ll Work On Building dynamic agent routing workflows (LangGraph-style graphs) Developing & maintaining backend APIs (FastAPI or similar) Integrating external systems like Hubspot, Google Drive, Notion, etc. Handling vector-based memory + feedback and storing context intelligently Contributing to overall product architecture (auth, user access, security, etc.) Potentially helping architect early self-serve features (e.g. Zapier-style connections) Requirements 4+ years backend development experience in Python Experience with Postgres as well or any SQL based database Strong expertise in in AI & ML & NLP Strong knowledge of FastAPI , Flask, Django or similar Experience with LLM tooling : LangChain, OpenAI, Pinecone/Weaviate/Chroma, etc. Comfortable designing and implementing stateful workflows Solid understanding of async Python and API-first development Familiarity with vector databases, embeddings, and RAG concepts Hands-on experience building and maintaining scalable systems Startup-ready: fast-moving, self-directed, hands-on Bonus (but not required) Experience using or contributing to LangGraph Background in agent-based modeling or state machines Experience building agent orchestration or workflow engines Familiarity with CrewAI, AutoGen, or similar frameworks DevOps skills (Docker, CI/CD, GCP, etc.) Why Join Us Be part of a zero-to-one product with massive potential Work directly with experienced founders and a sharp technical team Influence architecture and product strategy from day one Get exposure to cutting-edge AI infrastructure

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. We’re already working with paying customers and have a full development team behind this. Now, we’re looking for an experienced Head of Engineering to scale our product, team, and systems with speed and clarity — while collaborating with world-class operators, designers, and AI developers. 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