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We are looking for a Senior Software Engineer to join our AI Engineering team. Youll be part of a highly proficient engineering group that serves as the focal point for all AI engineering efforts, constantly driving innovation and leveraging AI capabilities across teams and products.

AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that engineering is about building the most effective and elegant solution within a given set of constraints, consider applying for this position.

What you'll be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.

We are looking for an Engineering Manager to lead our Research Engineering team.
Our analysts are core to our business, and are half of total R&D.

You will design and build the self-service analytics, this is the daily driver for our analysts and serves as a force multiplier to employees across the company.

Analytics are central to how we operate, across the entire organization.
They power our decisions which are our business, and enable us to move fast and release features at a rapid pace, and provide the backdrop for much of the innovation currently occurring in the company.

What you will be doing:
Build and lead a team of 4 experienced Backend Engineers.
Initiate and own complex development projects, work with stakeholders to define features, and scope, and guide decisions and tradeoffs.
Collaborate with staff & principal engineers and analysts from across the organization.
Managing relationship with our various vendors (DBX, SF and more).

We are looking for a Director of Engineering to lead our Intelligence Platform and internal AI transformation. As the Director of this group, you will drive the AI platform and adoption, and build the self-service analytics & ML platform which is a force multiplier to employees across the company.

AI and analytics are central to how we operate, across the entire organization. They power our decisions which are our business, and enable us to move fast and release features at a rapid pace, and provide the backdrop for much of the innovation currently occurring in the company.

This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future - including infrastructure for autonomous and interactive agents, AI guardrails and evaluation frameworks to ensure performance and safety, and state-of-the-art AI and Agentic patterns.

What you will be doing:
Drive AI transformation inside us, designing the AI & agents platform that powers both internal and customer-facing solutions.
Partner with leaders and teams across us to accelerate AI adoption & business impact.
Lead and grow multiple engineering teams (~15 engineers), driving the vision and strategy for our internal analytics, ML, and AI infrastructure.
Build and evolve high-scale, self-service platforms for research environments, model training, evaluation, and experimentation.
Mentor and empower engineering managers, senior engineers, and future leaders.