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 in any of the following:
- Data Engineering: Building ETL / streaming pipelines, working with technologies like Spark, Airflow, dbt, or building on a lakehouse 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.
Compensation and BenefitsWe're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:
- Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000.
- Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.
- Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.
- 401(k): We'll help you build for your future with a competitive 401(k) program.
Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.
