Browser Agent Engineer

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.