AI Software Engineer (LangGraph, TypeScript)
Visa Sponsorship
Relocation
AI Summary
Join uplane as a highly skilled AI Software Engineer to build AI systems with LangGraph and TypeScript. Take ownership of features from concept to deployment in an early-stage startup setting.
Key Highlights
Build AI systems with LangGraph and TypeScript
Design and maintain scalable AI systems
Work on data analytics infrastructure
Architect and manage robust database schemas
Own projects across the full lifecycle
Technical Skills Required
Benefits & Perks
Be one of the first employees at a well-funded startup
Solve a massive problem in a massive market
Take ownership and grow quickly
Fast-moving, ambitious, fun, humble culture
Job Description
About Uplane (YC F25)
Companies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving AI system. It creates ads, builds matching landing pages, allocates budgets across different channels, and more. We are building the AI engine that will manage and spend the world's marketing budget.
About The Role
We're seeking a highly skilled and proactive AI Software Engineer to join our team full-time, on-site in San Francisco. This role offers an excellent chance to take full ownership of features from concept to deployment within an early-stage startup setting.\ \ Why Join
- Be one of the first employees at a well-funded startup
- Solve a massive problem in a massive market
- Take ownership and grow quickly
- Culture: fast-moving, ambitious, fun, humble
- Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns.
- Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time.
- System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance.
- Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance.
- User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs.
- Collaboration: Collaborate closely with the operations team and customers via Slack and Notion to ensure technical solutions are aligned with user requirements.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative/engineering field, or equivalent practical experience.
- Minimum of 3 years full-time experience in software engineering, data science, or applied machine learning.
- Strong desire to work with data and numbers, and advanced understanding of machine learning, data science, and statistics.
- Backend Expertise: Strong backend development skills and experience with PostgreSQL or relational databases.
- Demonstrated ability to work independently.
- Based in or willing to relocate to San Francisco; on-site presence required (Visa sponsorship will be provided if needed).
- Frontend Expertise: Proficiency in building responsive frontends using React/Next or Vue.js and the Nuxt framework.
- Experience in working with LangGraph, LangChain and TypeScript.
- Worked in a startup or similar fast-paced environment.
- Strong creative judgment with a sense for marketing.
- Frontend: Vue.js, Nuxt
- Backend: Node.js, TypeScript, Inngest
- AI Agents: LangGraph
- Database: PostgreSQL (Supabase)
- Infrastructure: Render, Inngest
- Enterprise Cloud: Microsoft Azure (Dedicated Deployments)
- Collaboration: Linear, GitHub, Slack, Notion