Across the U.S., thousands of small HVAC businesses are drowning in admin. WorkHero pairs seasoned office managers with AI workflows to free up their time, unlock growth, and modernize the trades. We handle everything that touches the back office of a small HVAC operation: billing, rebates, permits, warranties, marketing, and more. Our customers save dozens of hours every week, allowing them to focus on growing their business.We are building at the intersection of Human and AI automation, and that’s where you come in.How you will help us achieve itAs an Applied AI Engineer, you will collaborate with the company founders, product team, and office managers to develop agentic workflows for many of their daily processes.You will ideate, design, implement, and maintain the software side of the product. You will design the UX, develop the front end interfaces, build backend routes and design database models.The bulk of this role is interacting with office managers to understand their workflows and then creating and managing AI agents & workflows to make them more efficient.In your day to day, you will:Partner with our frontline staff to understand their work so you can automate it with AI and save them timeLive on the cutting edge of Human & AI interactions, keeping up to date with the latest patterns and how they apply to WorkHero and our workflowsContribute to exceptional code quality and performance of the code baseMentor young engineer(s) to be great at their craft, as our team growsKey DetailsYou can work remotely from anywhere with an overlap of at least four hours with the product team (6 pm to 10 pm IST)This role involves participating in calls with US-based stakeholdersThe compensation comes with a salary and an equity componentYou’ll thrive if youCare about your craft and the mission of the software you are developingAre enterprising and can figure out how to convert workflows/playbooks to AI agentsWork with cutting-edge AI tools and APIsDon’t just complete tickets that are assigned to you; you think deeply about the product and how you can make it great, then put that into actionEnjoy developing 0-1 software products iterativelyAre proficient in the Typescript ecosystem, including monorepos.Are skilled in React and Express (Koa is a plus) or similar techAre pragmatic and understand trade-offs in software engineeringRequirements4+ years of experience in building software productsHave created applications using AI and LLMs. Can understand when to prompt, use RAG, create agents or fine-tune an LLMHave solid experience with the MERN stackAbility to debug and optimize complex systemsExcellent communication and collaboration skillsBonus points if you haveExperience in mentoring junior team members. Better if they had gone to replace you in your team, allowing you to take up a more meaningful roleFamiliarity with our tech stack (React, Koa, Mongo, AWS, React Native)A good understanding of UX best practices for SaaS based interfaces & AIBuilt apps using React NativeA deep understanding of infrastructure and can optimize for costSet up evaluation frameworks for agentic workflowsContributed to open-source projectsYour First Six MonthsYou will be working on creating AI Agents/Workflows based on the playbooks for some of the crucial workflows of HVAC office managersYou will work on building the frontend, APIs and apply AI knowledge to add features to the office manager and admin portal, as well as the mobile appYou will be using Vercel AI SDK to create abstracted AI agents and workflows with the capability of falling back to different providersYou will demo the agentic workflows to US-based stakeholders—small HVAC business owners, product team and office managersYou will monitor and manage the AI Workflows, ensuring quality and accuracy, improving them over timeAbout engineering at WorkHero We value:High ownership and fast iterationDeep understanding our tools and systemsContinuous improvement, both technically and interpersonalOur technology stack:Full Stack TypeScript (React, React Native, KoaJS Backend, CRXJS Browser Extension)NX Monorepo with shared typing & librariesInfrastructure: AWS (ECS, Hosted RMQ)Database: MongoDB AtlasFirebase & GCP servicesAI Tooling (Anthropic, OpenAI, Gemini, Deepgram)Our teamThe Company is funded by Workshop Ventures Partners, a US-based venture studio focused on building great companies in Climate TechThe team consists of founding members from Harvard Business School and the Workshop Ventures team — Kyler, Furman, Chad, Jason and UlhasInterview Process:Screening: Review of your open source contributions and past projects.First Round of Technical Evaluation: Assessing your problem-solving and AI integration skills.Technical Evaluation + Cultural Fit: Understanding your alignment with our team
Job Title
Lead AI Engineer