Software Engineer (Full-Stack, AI-Native)

Wolfia is a fast-growing, Y Combinator and Khosla Ventures-backed startup. We are developing AI agents focused on sales enablement. Our environment is pretty intense and demands a high level of commitment, characteristic of a rapidly scaling company. We're looking for engineers who are truly native with AI and thrive in environments with high ownership and customer obsession.

Our Product: AI agents making enterprise knowledge instantly usable for your sales teams.

Wolfia provides AI agents designed to equip sales teams with the information they need, precisely when they need it. Our platform connects to all your company's existing knowledge sources (Google Drive, Notion, Slack, email, websites, trust centers, SOC 2 documentation, etc.). These autonomous AI agents maintain an up-to-date understanding of this information and use it to draft, validate, and format accurate responses to customer questions, security questionnaires, and RFPs. The result is that sales teams can deliver reliable information in seconds, rather than waiting on subject-matter experts, significantly accelerating the sales cycle. While tools like Glean help employees find internal knowledge, Wolfia's AI agents actively use that knowledge to generate actionable content for sales teams, turning a process that often takes weeks into mere minutes. Wolfia is already trusted by notable customers such as Amplitude, CircleCI, Sardine, Peregrine, and Lilt.

As a Software Engineer at Wolfia, you will be central to developing and scaling our AI agents for sales enablement. You'll work closely with the founders, contributing significantly to a product that leverages advanced large language models to solve critical business challenges.

Core Responsibilities

• Own and lead engineering efforts to build and enhance our AI-driven sales enablement platform.
• Lead frontend development using technologies like Next.js, React, TypeScript, Radix UI, Tailwind and Shadcn.
• Lead backend development using Python, Postgres, OpenAI, and FastAPI, with a focus on AI agent capabilities.
• Engage with customers for feedback and iterate quickly to improve our product in a fast-paced development cycle.
• Drive the technical design process for our services and features, ensuring robust AI integration.
• Actively participate in roadmap planning and feature discussions, bringing an AI-first perspective relevant to sales enablement.
  
  

Our Tech Stack

• Frontend: Next.js, React, TypeScript, Radix UI, Shadcn, Tailwind
• Backend: Python, Postgres, OpenAI, FastAPI
• Deployment: AWS, Vercel, Porter, Supabase
  
  

Our Core Values

• Built to learn: We should be focused on learning more than executing.
• Act like an owner: Treat Wolfia like your own. Drive growth with creativity and precision.
• Bias for action: Take necessary actions & decisions, even with incomplete info.
• Hacker mindset: Find the 80/20 solution and iterate; creative problem‑solving.
• Show respect: We value the golden rule, treating others with the utmost respect.
• Disagree and commit: We welcome all perspectives and healthy debate. Once a decision is made, we fully commit to its execution, regardless of initial disagreements.
  
  

Qualifications

• Native experience with AI is required: You possess a deep understanding of how to architect, build, and integrate AI agents, particularly for applications like reasoning based information retrieval, knowledge synthesis, and response generation. You approach problems with an AI-native mindset.
• Proficiency in full-stack development across our frontend (Next.js, React, TypeScript) and backend (Python, Postgres, FastAPI) technologies.
• A genuine passion for problem-solving, skilled in writing clean, performant, and scalable code.
• Excellent communication skills and a customer-centric approach to product development.
• A strong sense of ownership and the drive to thrive in a fast-paced, intense, and rapidly growing YC startup environment.
  
  

Candidates With An Edge

• You are deeply familiar with Large Language Models (LLMs) and can use AI to develop faster & reduce turnaround time on features.
• You can use test-driven development to reduce functional and performance issues.
• Demonstrated ability to handle complex data, build robust knowledge systems, and address security challenges relevant to enterprise information.
• Previous experience thriving in an early-stage, high-growth startup focused on B2B SaaS or AI.
  
  

If all goes well, a job offer with compensation and benefits will be sent by the end of the day. We move fast!