Senior Software Engineer II, BrazeAI Operator

WHAT YOU'LL DO

Braze’s product is the control center for thousands of the world’s most sophisticated marketing teams. The BrazeAI Operator is a chat assistant embedded in the frontend of the product. It uses agentic AI to help marketers do their work more efficiently.

The team owns the agentic runtime that powers Operator, including tool orchestration, prompt engineering, streaming transport, integrations with LLM providers, integrations with Braze features, and integrations with third-party vendors.

The team also owns Braze’s headless agentic solutions: Braze MCP and Operator Connect, which gives MCP users the full power of Operator from the agent of their choice.

As a Senior Engineer on the BrazeAI Operator team, you will build AI-powered product experiences that are reliable, useful, and deeply integrated into the Braze product. You will lead important technical projects, design systems that make agentic behavior safe and observable, and help define what excellent AI assistance looks like for sophisticated marketing teams.

In this role you will:

• Design and build AI-powered product experiences using TypeScript, React, and LLM provider APIs
• Develop the agentic tool runtime that lets BrazeAI Operator take actions inside the product on behalf of users
• Build integrations between Operator and core Braze product surfaces, third-party vendors, and AI model providers
• Improve the reliability, observability, and safety of LLM-backed systems, including streaming responses, error handling, evaluation, and rollout controls
• Improve the scalability and observability of our headless agentic solutions
• Lead projects from ambiguous product or technical goals through implementation, launch, and iteration
• Collaborate with other engineers through technical design, code review, and clear engineering practices

Recent and ongoing work on the team includes:

• Building the agentic tool runtime for Operator
• Designing a streaming architecture for real-time AI responses and product notifications
• Integrating with LLM providers such as Gemini, OpenAI, Anthropic, and AWS Bedrock
• Integrating Operator with the entirety of Braze’s product
• Building AI-assisted authoring, search, validation, and support experiences inside the product
• Building headless access to Operator

Parts of our stack with which you will work:

• TypeScript, React
• Ruby on Rails
• Python
• MCP (Model Context Protocol)
• LLM provider APIs: Gemini, OpenAI, Anthropic, AWS Bedrock
• Real-time transports: web sockets, server-sent events
• Cypress, Jest, RSpec

WHO YOU ARE

• Solid track of software engineering experience with a strong track record of technical impact
• Are strong in modern frontend development and comfortable working across the stack into backend systems
• Have experience building production systems that integrate with AI/ML models, LLM APIs, or other complex external services
• Care about reliability, observability, safety, and user trust in AI-powered products
• Are comfortable working in ambiguous problem spaces where product behavior, technical architecture, and model capabilities all shape the solution
• Communicate clearly, collaborate well across teams, and help raise the technical bar for those around you
• Bonus experience
• Experience with prompt engineering, LLM evaluation, or agentic system design
• Experience with real-time systems, streaming protocols, or event-driven architectures
• Experience building MCP servers
• Experience with Ruby on Rails and/or Python
• Experience with MongoDB, Redis, Kubernetes, or Datadog
• Experience with browser automation (e.g., Playwright)

#LI-Hybrid