Drillbit

| Why Drillbit Mission: Drillbit’s mission is to make housing more affordable How: Residential contractors spend exorbitant amounts on customer acquisition due to wasteful human-driven administrative practices. This inefficiency inflates the cost of basic services, hurting everyone in America. Drillbit provides AI office workers to eliminate that waste, and allow businesses to get back to the work they were hired for. Stage: Drillbit is a YC startup that has raised $4.4 million at a $50 million valuation. Mason, our AI employee, has generated over $95M in GMV for our customers across over 90k opportunities. He is booking jobs at a rate 3x greater than the best human CSRs at a small fraction of their cost. In the past 12 months, Drillbit has sustained 42% month-over-month growth, building a $35M ARR sales pipeline. Role Overview We’re looking for a sharp, highly technical AI Engineer to join our 7-person engineering team in Austin, TX. You’ll be on the frontlines designing and deploying cutting-edge AI systems that power Mason and the next generation of Drillbit products. This is an in-person role (9 to 7, Monday to Friday), perfect for a relentless self-starter who thrives in fast-paced startup energy and wants to ship real impact every day. On top of working with a world-class team of engineers from Apple, Microsoft, SpaceX, and more, you’ll have access to a bustling city with BBQ, trails, and affordable rent. What You’ll Do Lead development of AI features while ensuring systems are scalable, reliable, and impactful for our customers. Build and optimize real-time AI systems across natural language, reasoning, and voice. Collaborate closely with engineering to design intelligent, human-like AI interactions. Stays current with AI/LLM advancements and knows how to put them into practice Foster a culture of innovation, excellence, and collaboration within the technology team. What You Have Passion about making housing more affordable BS/MS/PhD in Computer Science, a related scientific field, or equivalent experience Fullstack engineering experience with proficiency in Typescript, React, Next.js, and relational databases Experience with audio processing, livekit, and ASR systems (nice to have) Production experience with LLMs (OpenAI, Anthropic, etc.) and RAG architectures Bonus points if experienced with PostgreSQL, Node.js ecosystem tools (NPM, Jest, ESLint), docker, and styling libraries like Tailwind CSS Compensation and Benefits Early-stage equity Catered lunch Competitive top-of-market salary $100/month gym reimbursement

| About company Mission: Drillbit’s mission is to make housing more affordable. How: Residential contractors spend exorbitant amounts on customer acquisition due to wasteful human-driven administrative practices. This inefficiency inflates the cost of basic services, hurting everyone in America. Drillbit provides AI office workers to eliminate that waste, and allow businesses to get back to the work they were hired for. Stage: Drillbit is a YC startup that has raised $4.1 million at a $50 million valuation. Mason, our AI employee, has generated over $46M in GMV for our customers across over 65k opportunities. He is booking jobs at a rate 3x greater than the best human CSRs at a small fraction of their cost. In the past 12 months, Drillbit has sustained 30% month-over-month growth, building a $16M ARR sales pipeline. About the role We are looking for a highly technical, hard-working, and scrappy full-stack engineer to join the team. You’ll work alongside our 7-person engineering to build and maintain product features. Responsibilities Lead development of product features while ensuring the system is scalable, reliable, and meets the needs of our customers Stay up-to-date with the latest LLM best practices and apply them to our product Foster a culture of innovation, excellence, and collaboration within the technology team Qualifications Passionate about making housing more affordable C.S. degree from a reputable university Experience with fullstack engineering using React, Next.js, and relational databases Up-to-date with new trends in LLMs and a desire to work at the cutting edge