Full-Stack Engineer (Jr / Mid / AI / Agentic / Product)

About This Role

Role SellScale is building the first Agentic Revenue Org, starting with Selix - an agent for outbound sales. We are looking for our next Founding Full Stack Software Engineer. This position will be shipping across the stack - backend, frontend, and database. You will quickly get involved with shipping AI/agentic features. This position is targeting a minimum 1% equity minimum grant. Requirements AI interest - including with agentic apps. Production AI experience not required. But, this should not be your first time making an agentic app or calling LLM APIs. Hackathons and extensive side projects are OKAY 👍. 1 year of work experience - unfortunately, no new grads. In person - able to work 5 days a week in San Francisco Solid CS fundamentals - an undergrad degree in CS, and able to ship across the stack: Front-end: React/Typescript Back-end: Python (e.g., Flask, FastAPI, or Django) Database: SQL experience (e.g., Postgres) Early stage only - interest to join a startup as one of the first N employees AI-free coding - no vibe coding here! To pass the interview, you’ll be expected to ship with minimal AI use. Reasons to think twice about applying… 🙅 You are looking for “senior leadership” guidance - be ready to solve your own problems! 🙅 You don't enjoy in-office culture - we work 5 days a week in-person 🙅 You’re looking for larger companies - this is an early, tight, technical team! Positives 💡 You will make decisions that will take you 10 years at Google to do 💡 There are few other places where you will learn more about building in an agentic / AI than here 💡 You will have a driver’s seat in an Agentic AI startup in the heart of SF, with a mult $bn TAM - enterprise sales spend Skills Fearlessly works across the entire stack (backend / frontend / design / infra / tooling ) Strong Python, JavaScript, React, React Native, Flask, PSQL, and LLM-prompting skills. Great prompting and knowledge of agentic systems (including building your own from scratch) Strong communication skills for our non-technical userbase, and very technical team Strong English as sales, prompting, and LLMs, all deal with language and what to say Application process A well-rounded application to test across the stack and against team culture. Intro call - get to know Selix & the SellScale team. Take home - Build a full stack agentic app Technical — Pair-program on your deliverable Product & pace — Walk through the non-tech side of SellScale - filled with prototyping, WOZing, prompting, and more. The stack ✅ Front-end: React/Typescript ✅ Back-end: Python (Flask) ✅ Database: PostgresSQL About SellScale SellScale is building the first agentic revenue org. Background: At a business, you’re either building the product or selling it. Enterprise sales spend is a multi-$bn market. Problem: As businesses grow larger, their sales spend grows disproportionately. Why? Sales—especially outbound—is still human-driven: it’s subjective, hard to measure, and doesn’t scale like code. This is exactly the kind of problem agents are built to solve. Opportunity: With the advent of recent tech like like agentic AI, large language models, vector databases, and more - future sales is human x machine. Our agent, Selix, has already seen a lot of success. Timing: Right now, we are in the dot-com boom of AI Agents. The agents we' build help solve a businesses’s #1 problem: how to grow revenue. We use Chained LLM thinking and start of the art GTM tools to help companies grow. Want to learn more? Check out our resources below: Reference 1: NewtonX Case Study Reference 2: I’m AI BDR, and I’m Selix (I’m a Mac, I’m a PC Parody) Reference 3: SellScale values

Responsibilities

The engineer will be responsible for shipping features across the entire stack, including backend, frontend, and database, with a quick involvement in developing AI/agentic features for the Selix sales agent.

Requirements

Candidates must have at least one year of work experience, solid Computer Science fundamentals, and experience building agentic applications or calling LLM APIs, though production AI experience is not mandatory.

Education

• bachelor degree

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