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
About Mindprint Built by Particle Execution, a fast growing AI consultancy / Agency, Mindprint is an AI-first product helping solo founders and small teams adopt AI into their businesses. We’re building the first AI Workforce platform - where your team collaborates with AI Experts that remember, improve, and execute workflows just like real teammates. We have some paying users already, and we’re about to launch our Beta, with 100 founding trial users and 65 paid slots (Growth + Scale plans). Now we need someone who can help us execute a world-class go-to-market funnel — from free trial → paying customers → scale. Role Overview We’re looking for a Go-to-market engineer to join the team full- time who has done this before - launching SaaS products, running precise, tight-knit funnels, and executing multi-channel GTM campaigns. This is a hands-on execution role — you’ll work directly with the founders and automation team to design, build, and optimise funnels that convert leads into paying customers. What You’ll Own Funnel Architecture & Execution Design and implement nurture flows (email, WhatsApp, in-app prompts). Map the trial → activation → conversion journey in detail. Set up countdowns, scarcity counters, and upgrade triggers. Marketing Automation & Analytics Build and optimise automations in HubSpot/ActiveCampaign/GoHighLevel (or equivalent). Track activation metrics (trial starts, engagement, conversion rates). Run A/B tests on messaging, subject lines, CTAs. Content Distribution & Conversion Assets Support content → funnel connection (landing pages, lead magnets, retargeting). Make sure every piece of content has a clear conversion path. Conversion Optimisation Work with founders to refine trial onboarding experience. Identify friction points and fix leaks fast. Turn free trial users into Growth/Scale subscribers. Who You Are 4+ years experience in SaaS marketing, growth, or GTM execution . Proven track record of taking users from free trial → paid at high conversion rates. Strong hands-on experience with marketing automation tools (HubSpot, ActiveCampaign, Zapier, GoHighLevel, etc.). Comfortable working in funnels, triggers, and data flows — not just top-line strategy. Data-driven mindset → you measure everything and act fast on signals. Based in India (to align with our time zones + cost structure). What We Offer Salary: Competitive India-based package + performance incentives. Employee Stock Options Work directly with founders, shaping the launch of a category-defining AI SaaS. Opportunity to own GTM for a high-velocity startup with global ambitions. Fast-moving, high-autonomy environment where execution speed is valued.
About Mindprint Mindprint is Particle Executions Product, we're building the AI-first workspace for the next decade. We’re a fast-paced team of 13 tackling one of the most important problems in tech: how small teams actually adopt AI. Instead of another “AI tool,” we’re creating a workspace where AI works like a real teammate — with memory, collaboration, and specialized Experts who grow over time. We're weeks away from development and are looking for an experienced back end developer to bolster our development team. This is an intense, high-growth environment . If you’re passionate about where AI is headed and want to build the infrastructure powering the future of work - this is it. What You’ll Do Design, build, and scale backend systems that power our AI-first workspace. Develop APIs and services to support real-time collaboration, persistent memory, and AI Experts/Skills . Work closely with frontend, AI, and product teams to ship features at startup speed. Optimize for scalability, performance, and security as we grow from dozens → thousands of users. Contribute to architecture decisions that will shape Mindprint for years to come. Tech Stack We’re Using (and you’ll help evolve) Node.js / TypeScript PostgreSQL / Redis GraphQL APIs AWS / GCP Docker / Kubernetes Experience with LLM integrations, vector DBs, or real-time systems is a big plus. What We’re Looking For 3+ years backend development experience. Strong understanding of databases, APIs, and distributed systems . Builder mindset — you’re excited to ship fast, learn from users, and iterate. Passionate about AI, SaaS, and how small teams work . Comfortable in an environment that’s demanding, unstructured, and moving fast . What We Offer Competitive salary (aligned with top India-based SaaS roles). ESOPs - you’ll own a real piece of what you’re building. Chance to work directly with the founders in shaping both the product and the company. A front-row seat to the AI adoption wave — you’ll help define how the next generation of teams work. Why Join Now Mindprint is at an inflection point. We’re still small enough that every line of code you write shapes the product , but we’re also building for a market that’s exploding. If you want responsibility, intensity, and the chance to make AI history with a team that moves fast , this is the role.
About the Role We are looking for a motivated Software Test Engineer with 1–2 years of experience in manual testing. The ideal candidate should have a strong understanding of the software testing lifecycle, test case design, and defect tracking. Experience or exposure to automation testing will be considered a plus. --- Key Responsibilities - Perform - manual testing - of web and mobile applications. - Write, review, and execute - test cases, test scenarios, and test scripts**. - Identify, document, and track defects/bugs using issue tracking tools (e.g., Jira, Bugzilla). - Collaborate with developers and product teams to ensure **quality standards are met. - Participate in regression testing, functional testing, integration testing, and UAT - Contribute to test documentation including test plans and test reports. - *(Plus)* Support in developing and maintaining **automation test scripts**. --- Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, or related field. - 1–2 years of hands-on experience in manual testing - Knowledge of SDLC, STLC, and defect lifecycle. - Experience with test management/bug tracking tools (e.g., Jira, TestRail). - Basic understanding of SQL for database testing - Strong communication and problem-solving skills. --- Good to Have (Plus Point) - Exposure to **automation testing tools** (e.g., Selenium, TestNG, Cypress). - Knowledge of **API testing** (e.g., Postman, RestAssured). - Familiarity with **CI/CD pipelines** and version control (Git). --- Why Join Us? - Opportunity to grow into automation or QA lead roles. - Work in a collaborative and innovative environment. - Exposure to cutting-edge tools and real-world testing challenges.