Founding AI Engineer

Uplane•San Francisco, CA

52d•Onsite

About The Position

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. 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.

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).

Nice To Haves

Worked in a startup or similar fast-paced environment.
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.
Strong creative judgment with a sense for marketing.

Responsibilities

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.