Overview
Are you a builder who is thrilled by the challenge of creating robust, scalable systems for the next generation of AI? While traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.
At MAI, we're not just building tools; we're building the future of growth marketing. Our mission is to create a truly autonomous system that plans, executes, and optimizes media buying from end-to-end, powered by cutting-edge Agentic AI. 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.
What You’ll Do
- 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.
- Engineer the Data Engine: You will architect our foundational data and signal platform using a modern lake house architecture. 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.
- Ship an Exceptional Product Experience: You will build our customer-facing applications, including a seamless chat UI where users collaborate with their AI partners. You\'ll also own the reliable and scalable serving infrastructure required to deliver a world-class, 24/7 experience.
- 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.
What You\'ll Bring
- 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.
Bonus points for experience
- Data Engineering: Building ETL / streaming pipelines, working with technologies like Spark, Airflow, dbt, or building on a lake house architecture.
- Machine Learning: Experience with ML frameworks (e.g., PyTorch, TensorFlow) or MLOps infrastructure (e.g., MLflow, Kubernetes, serving systems).
- Agentic AI / LLMs: Hands-on experience developing with Large Language Models, agentic frameworks (like LangGraph), or building RAG systems.
Why You’ll Love Working at MAI
- Unparalleled Learning: You\'ll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.
- High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, our culture, and the success of our customers.
- 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.
- True Ownership: We believe in empowering our team. You\'ll have significant autonomy over your work and a clear path for growth as the company scales.
Are you ready to build the future with us? We can\'t wait to hear from you.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Technology, Information and Internet