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Full-stack Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: MAI
Full Time position
Listed on 2026-05-12
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Full Stack Developer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About Us

At MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.

Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million
Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day
.

Why Join Now

While traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.

As an early Software Engineer at MAI, you won't just be writing code; you'll be the architect of the entire ecosystem where our AI agents live, learn, and operate. You will have a profound impact across our entire stack
, from the foundational data platforms that feed our agents, to the core agentic frameworks that allow them to reason, to the scalable serving systems that deliver their intelligence to our customers. This is a rare opportunity to build a truly AI-native product from the ground up and solve problems at the forefront of the industry.

You won't just be a cog in a large machine.
You’ll be an athlete on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We're in the early days of forming three core teams:

  • Product Engineering & Infrastructure

  • AI Platform & Foundation

  • Agent Application & Quality

You'll have the unique chance to learn and grow your skillset as these teams evolve. We encourage you to lean on your specializations while taking on new projects you've never done before,
learning from your peers and becoming a more well-rounded engineer.

What You’ll Do
  • Build robust, high-performance web applications with modern frontend frameworks.

  • Design, develop, and maintain scalable backend services and APIs to support core business applications.

  • Implement reliable, secure, and efficient infrastructure for deploying and operating distributed systems.

  • Collaborate closely with data engineers and ML teams to integrate data pipelines, analytics, and AI-driven features into production systems.

  • Ensure systems are designed for scalability, observability, and maintainability across cloud environments.

  • Optimize application performance across backend, frontend, and data-intensive workloads.

  • Participate in code reviews, enforce best practices, and ensure high-quality engineering standards.

  • Partner with cross-functional teams to translate business needs into technical solutions.

  • Write and maintain clear, reusable, and well-documented code.

  • Contribute to architectural decisions and the long‑term technical roadmap.

What You'll Bring
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.

  • Strong proficiency in backend development with experience in web frameworks (e.g., Django, FastAPI, or similar).

  • Experience building modern frontend applications using frameworks such as React, Vue, or Angular with Type Script or JavaScript.

  • Familiarity with asynchronous programming and designing high‑concurrency systems.

  • Solid understanding of cloud platforms (e.g., Google Cloud, AWS, Azure) and container orchestration.

  • Experience working with relational and non‑relational databases, caching systems, and large‑scale data stores.

  • Knowledge of distributed systems, job scheduling, and workflow orchestration.

  • Strong problem‑solving, debugging, and system design skills.

  • Excellent collaboration and communication abilities in cross‑functional environments.

Bonus points for experience in any of the following:

  • Industry experience with…

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