Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Base pay range

$/yr - $/yr

MAI (pronounced “my”) is on a mission to democratize advanced advertising technology. We make cutting‑edge marketing tools accessible to everyone by automating performance marketing with AI agents. Founded by ad platform veterans from Google and Instacart, we raised $25 million in a Seed round led by Kleiner Perkins to accelerate growth. Our AI agents already drive 40 % more sales and manage millions in monthly Google Ads spend.

Building an AI‑native marketing platform is a new frontier; as an early Software Engineer you will architect the entire ecosystem that powers our agents. In a small team of fewer than ten engineers, you’ll have the impact of a full‑stack engineer combined with the autonomy to shape the company.

Core teams you’ll help build:

• Product Engineering & Infrastructure
• AI Platform & Foundation
• Agent Application & Quality

• Build the Agent’s Operating System: design and develop a platform that manages workflows, long‑term memory, and human feedback loops.
• Engineer the Data Engine: architect a lake‑house data and signal platform, build pipelines and ML serving systems for real‑time decision signals.
• Create World‑Class Tools for AI: develop secure Python sandbox, data manipulation, and API integration tools for agents.
• Ship an Exceptional Product
  
  Experience:
  
  build customer‑facing chat UI and scalable serving infrastructure for 24/7 availability.
• Bring Models to Life: collaborate with data scientists on MLOps infrastructure to train, fine‑tune and deploy reasoning models.

• Master’s or PhD in Computer Science or related quantitative field, OR Bachelor’s degree with 2+ years of professional software engineering experience.
• Strong proficiency in Python and a passion for clean, scalable code.
• Product‑mindfulness and a focus on delivering delightful user experiences.
• Systems‑level thinking and the ability to design for scalability, reliability, and extensibility.

• Data Engineering: ETL/streaming pipelines, Spark, Airflow, dbt, or lake‑house architecture.
• Machine Learning: ML frameworks (PyTorch, Tensor Flow) or MLOps tools (MLflow, Kubernetes, serving systems).
• Agentic AI / LLMs: hands‑on experience with LLMs, agentic frameworks such as Lang Graph, or building RAG systems.

• Unparalleled Learning: front‑line AI engineering, solving novel challenges.
• High Impact: early team member shaping core platform, culture, and customer success.
• A Culture of Curiosity: tight‑knit team valuing transparency, first‑principles thinking, and relentless problem‑solving.
• True Ownership: significant autonomy and a clear growth path as the company scales.

• Base salary: $160,000 to $225,000, depending on experience.
• Equity: meaningful stake in our mission.
• Health & Wellness: medical, dental, vision coverage for you and your family.
• 401(k): competitive program to help build your future.

Are you ready to build the future with us? We value potential, curiosity, and hunger. Apply even if you don’t meet every single requirement – we’re looking to hire passionate builders.