• Design and implement robust, scalable systems across our entire tech stack • Develop server-side logic, design and manage databases, create responsive front-end interfaces • Architect solutions using TypeScript, working with SQL, MongoDB, and Redis databases • Mentor other developers to foster a culture of code quality and best practices • Collaborate with engineers, product managers, and designers to create robust, novel experiences • Contribute to team direction with strategic thinking and a passion for continuous learning

• Develop, Design and implement software solutions, web applications, windows/web services and database layouts. • Design, build, and maintain efficient, scalable, and reliable code. • Create application code, presentation layer scripts and stylesheets. • Maintain and improve the existing software solutions / applications. • Integrate software components and third-party tools. • Supervise outsourced development/programming tasks. • Participate in requirements analysis. • Collaborate with internal teams to produce software design and architecture.

This is a remote position. Software Engineer II (Full Stack), Quinn We are seeking a highly capable Software Engineer II to act as a core execution partner to our Quinn Head of Engineering. This role is structured with a defined, rapid growth trajectory toward a Senior Software Engineer title. While the Quinn Head of Engineering drives the high-level technical strategy, security, and AI data governance, you will focus heavily on building the underlying data infrastructure and supporting our AI agents. You will have the autonomy to own independent feature development, share the operational load, and build the real-time event pipelines that make our intelligent workflows possible. What You'll Do - Drive Full-Stack Feature Delivery: Take ownership of end-to-end product features based on provided specifications. You will build the necessary backend endpoints, wire them up to the React frontend, and ensure a seamless, reliable user experience. - Shared Infrastructure & Quality Ownership: Partner with the Quinn Head of Engineering to keep the lights on (KTLO) for our cloud infrastructure. You will share responsibility for maintaining our deployment pipelines and take the lead on establishing and owning our End-to-End (E2E) test coverage. - Cross-Team Data Integration: Act as a collaborative bridge to the Quipli team. You will work with the Quipli platform team to build out extraction patterns (e.g., webhooks, API polling) against the transactional database to seamlessly feed Quinn's knowledge graph. - Build the AI Bridge: Collaborate on writing scalable, maintainable APIs, developing Model Context Protocol (MCP) servers, and supporting robust third-party integrations that allow our AI agents to seamlessly read from and write back to the system of record and other external tools. RequirementsWhat We're Looking For (Must-Haves) - Full-Stack Proficiency & Quality Deliverables: Strong experience building production applications using Node.js and TypeScript, paired with modern frontend framework experience (React). You are committed to quality and have proven proficiency using testing frameworks (such as Vitest and Playwright) to ensure reliable, scalable deliverables. - DevOps & CI/CD Familiarity: You understand how your code gets to production. You have familiarity with standard DevOps practices and CI/CD tools (e.g., GitHub Actions, basic infrastructure management). You should also have hands-on experience working with modern cloud platforms and serverless architectures. - Growth Mindset for AI: You don't need to be an AI researcher on Day 1, but you must have a strong, demonstrable desire to learn. We expect you to actively leverage AI coding tools (like Copilot, Cursor, or Antigravity) to accelerate your daily workflow. While prior experience with AI/LLM SDKs (e.g., OpenAI SDK, Google Gen AI SDK, LangChain) is a strong bonus, the core requirement is the technical agility to rapidly learn and apply them as you tackle increasingly complex AI orchestration tasks. - Collaborative Execution: You thrive in an environment where you can partner on architectural strategies and translate them into scalable, well-tested code with a high degree of autonomy. Nice to Have - Experience within the Google Cloud Platform (GCP) ecosystem. - Familiarity with observability and monitoring platforms (e.g., Datadog). - Experience building data pipelines for Retrieval-Augmented Generation (RAG) and knowledge graph applications. - Strong experience working with AI/LLM-oriented SDKs (e.g., OpenAI SDK, Google Gen AI SDK, LangChain). - Practical experience designing or navigating event-driven architectures and real-time data streaming. Benefits Why Quipli? - We’re a passionate, startup team that spends most of our time figuring out how to solve the problems rental companies face when growing their business - We’re a 100% remote company where bureaucracy and hierarchy are abhorred, and building and solving problems are what matter above all else - Ultimately, what Quipli offers is a dynamic workplace where your work will be vital to helping a rapidly growing startup expand a validated business model to the rest of the country - Opportunity to be on the ground floor of a fast-paced startup working directly with a founding team Perks Of Working For Quipli - 100% Remote Workplace, Equipment Provided - Competitive Compensation Package - Meaningful equity in a startup - Medical, Dental, and Vision Insurance - 401k Program - Open Vacation Policy (you take vacation whenever you want) - Quick opportunities for career advancement - Fun, Vibrant, Enthusiastic Company Culture - A clear success path within the company -- we want you to grow and lead with us - Work directly with our founding team

• Establish and evolve an AI-driven approach across the team's entire workflow. • Lead, mentor, and manage a team of software engineers. • Serve as technical lead and primary contributor on complex stability improvements. • Own the prioritization and execution of the reliability backlog across the product portfolio. • Partner with Product, QA, and engineering teams to assess severity and ensure timely resolution. • Define and enforce engineering standards and best practices. • Drive continuous-improvement initiatives to reduce operational burden. • Report regularly to the CTO on team velocity, backlog health, and product reliability metrics. • Recruit, onboard, and develop engineers to foster a culture of accountability and technical excellence.