MAI Agents

Software Engineer

Mountain View · Mid

Sponsorship not specified$160k-$225kDetected 288 days ago

PythonKubernetesMachine LearningTensorFlowPyTorchSparkAirflowdbtData EngineeringLLMsRAGAgentic AIMLOpsLangGraphGoogle AdsPerformance Marketing

About the role

We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone.
This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life.
Our client waitlist is growing by the day.

Responsibilities

Build the Agent's Operating System: You will design and build our core agentic platform.
This is the engine that allows us to craft, manage, and continuously improve our autonomous agents by orchestrating complex workflows, enabling long-term memory, and integrating human feedback loops.
You'll build the robust pipelines and ML serving systems that fuel our agents with the critical, real-time signals they need to make intelligent, high-stakes decisions.
Create World-Class Tools for AI: An agent is only as good as its tools.
You will build a suite of powerful, reliable, and safe "tool machines" that allow our agents to interact with the world-executing code in a secure python sandbox, manipulating data, and calling third-party APIs accurately.
Bring Models to Life: You will collaborate closely with data scientists to build the MLOps infrastructure for training, fine-tuning, and deploying state-of-the-art reasoning models that form the core of our agents' intelligence.
Data Engineering: Building ETL / streaming pipelines, working with technologies like Spark, Airflow, dbt, or building on a lakehouse architecture.
Agentic AI / LLMs: Hands-on experience developing with Large Language Models, agentic frameworks (like LangGraph), or building RAG systems.
A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.
Our total compensation package is designed to support you, both professionally and personally:

Requirements

You'll also own the reliable and scalable serving infrastructure required to deliver a world-class, 24/7 experience.
Experience with ML frameworks (e.g., PyTorch, TensorFlow) or MLOps infrastructure (e.g., MLflow, Kubernetes, serving systems).
A Master's or PhD's degree in Computer Science or a related quantitative field, OR a Bachelor's degree with 2+ years of professional software engineering experience.
Strong proficiency in Python and a passion for writing clean, scalable, and maintainable code.
You are a product-minded engineer who cares deeply about the end-user and is excited to bridge the gap between complex backend systems and a delightful user experience.
You are a systems-level thinker, capable of navigating ambiguity and designing for scalability, reliability, and extensibility.

Skills

An agent is only as good as its tools.

Compensation

Depending on your years of experience, a base salary range of $160,000 to $225,000.

Benefits

We want you to feel invested in our mission, which is why we offer meaningful equity.
Bonus points for experience in any of the following:
Machine Learning: Experience with ML frameworks (e.g., PyTorch, TensorFlow) or MLOps infrastructure (e.g., MLflow, Kubernetes, serving systems).
Unparalleled Learning: You'll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.
Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.

Company info

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.
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.
At MAI (pronounced "my"), we're on a mission to democratize advanced advertising technology.
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.
Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend.

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