Browser Agent Engineer About the Role Today, 99% of the world's information is only accessible through a browser. Yet browsers were never designed for AI Agents-they were built for humans.
We're changing that.
Our vision is to make AI Agents first-class citizens of the web, with their own identity, inspectable memory, delegated permissions, and replayable behaviors. The browser should no longer be merely an automation tool-it should become the place where Agents truly live and work.
The mission of this role is to build the runtime foundation for that world, enabling Agents to reliably complete long-running tasks in the unpredictable, messy reality of the web-from launch to archived results-with minimal latency and no human supervision.
Core Responsibilities Browser Runtime Build the core browser runtime, including:
- Session isolation
- Browser profile management
- Screenshot and screen recording
- Live browser view
- Persistent authentication sessions
- Crash recovery
Long-Running Task Orchestration Design reliable execution systems for long-running Agent tasks, including:
- Task and session state machines
- Idempotent retries
- Cancellation handling
- Resume-from-checkpoint execution
- Automatic resource cleanup
Agent-Driven Web Navigation & Interaction This is not traditional web scraping.
Your mission is to enable Agents to understand and interact with websites the way humans do.
Responsibilities include:
- Extracting and structuring information from dynamic web pages without relying on fixed CSS selectors, using semantic understanding instead.
- Automating multi-step forms and authentication workflows.
- Handling complex interactions such as:
- Pagination
- Infinite scrolling
- Pop-up dialogs
- Dynamic UI components
- Adapting strategies in anti-bot environments through:
- User-Agent rotation
- Human-like interaction patterns
- Intelligent waiting strategies
- Detecting and reporting CAPTCHA challenges and mandatory verification flows.
- Producing structured outputs that downstream systems can consume directly.
Agent Loop & Tool System Design and improve:
- Task planning
- Tool invocation
- Structured outputs
- Failure attribution
- Multi-Agent orchestration
Developer APIs Build production-grade developer interfaces, including:
- REST APIs
- Server-Sent Events (SSE)
- SDKs
Ensure:
- Clear and actionable error codes
- Reliable artifact downloads
- Stable developer experience
LLM Infrastructure Own the AI invocation pipeline, including:
- Prompt version management
- Model routing
- Cost tracking
- End-to-end request tracing
Observability Build comprehensive observability systems that enable engineers to reconstruct production failures within minutes using:
- Logs
- Distributed traces
- Event streams
- Browser screenshots
- Execution recordings
What We're Looking For Required Qualifications Browser Automation Expertise Deep understanding of browser automation technologies, including:
- Chrome DevTools Protocol (CDP)
- Playwright
- Puppeteer
- Remote browsers
- Dynamic rendering
- Anti-bot detection and failure patterns
LLM Agent Engineering Strong understanding of modern AI Agent architectures, including:
- Agent loops
- Tool calling
- Context window optimization
- Prompt version management
Long-Running Workflow Systems Experience designing reliable long-running task infrastructure, including:
- State machines
- Worker systems
- Idempotency
- Timeout management
- Cancellation
- Failure recovery
Backend Engineering Strong Python expertise, including:
- Asynchronous programming
- FastAPI
- Pydantic
- SQLAlchemy
- pytest
Event-Driven API Design Experience designing production APIs using:
- Server-Sent Events (SSE)
- OpenAPI
- Stable SDK contracts
- Actionable error handling
Observability Hands-on experience with production observability platforms such as:
- OpenTelemetry
- Prometheus
- Structured logging
Experience - 5+ years of backend engineering, browser automation platforms, or AI Agent development.
- Proven experience delivering production-grade browser automation systems or long-running workflow platforms.
Preferred Qualifications Candidates with one or more of the following experiences will stand out:
- Engineering experience with browser-native Agent platforms such as:
- browser-use
- Browserbase
- Stagehand
- Skyvern
- or similar products
- Hands-on experience with:
- Human-in-the-loop workflows
- Authentication/session management
- Anti-bot mitigation
- Failure classification for dynamic web interactions
- Experience with distributed workflow platforms such as:
- Temporal
- Celery
- Kafka
- Redis Queue
- Maintains production-grade open-source automation tools, web crawling frameworks, or AI Agent projects with active real-world users.
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