Software Engineer
Build and ship AI features for sales agents end-to-end across React/TypeScript and Node.js/Python. Work directly with customers, make foundational agent architecture decisions, and mentor the team.
About the job
What you'll do
- Build AI features that drive revenue, end to end. Define the success metric, ship across React/TypeScript and Node.js/Python, and iterate until it moves.
- Work directly with customers. Be on calls with users and ship fixes back to them.
- Make foundational technical decisions (e.g., agent memory per rep, primitives for long-running outbound strategies).
- Mentor others on the team. Run code and design reviews, and pair on the hardest problems.
Requirements
- 3+ years of engineering experience, with depth in React, TypeScript, Node.js, Python
- Production experience with AI features (debugging misbehaving agents, building evals)
- Strong opinions about human-agent collaboration product surfaces
- Comfortable hopping on customer calls to validate features
- Fast learner who asks good questions
- Based in San Francisco, able to be in-office 3+ days per week
Skills
React, TypeScript, Node.js, Python, AI, Agent Systems, Evaluations, Frontend, Backend
Similar jobs
Fullstack Engineering jobsProduct engineer building the modern AI-first platform for accounting and finance. Tackles foundational data automation, transformation, and reporting challenges in a complex domain. Requires 5+ years software engineering experience and a bachelor's in CS, Math or Philosophy.
Build and evolve Cardless’s frontend platform, consumer cardholder experiences, and internal operations and risk tools. The role requires 5+ years of frontend engineering experience, including 3+ years with React, plus strong component architecture, accessibility, testing, and cross-functional delivery skills.
Build APIs, data pipelines, visualizations, and customer-facing interfaces that make sustainability data actionable. The role requires 3+ years of software engineering experience, comfort across the stack, and a customer-focused approach to scalable product development.
Build production software primitives, domain models, integrations, and agent infrastructure for AI data-center projects. The role requires strong abstraction and domain-modeling skills, experience with unstructured data, and fluency with modern AI coding tools.
Build and deploy scalable systems, APIs, and rules-based tools that process signals and automate financial-risk mitigation. The role requires a bachelor’s degree and four years of experience with software development, distributed systems, scalable architecture, and production debugging.