Software Engineer, Perplexity AI

• 6+ years of industry experience building large scale systems or platforms
• Experience building agent applications with tool calling, context engineering, or open connector integrations
• Strong coding skills in one or more of: Python, Java, Go. Comfortable with service design, APIs, and data models for high throughput systems
• Working knowledge of containers, virtualization, and sandboxing. Familiar with metrics, tracing, on call, and incident practices
• Bias to own problems across layers, collaborate in fast moving teams, and ship

Desirable

• Perplexity is looking for a Software Engineer to build the core infrastructure that powers agentic products across Perplexity including Search, Deep Research, and the Comet browser
• You will design and evolve the runtime, orchestration, evaluation and training systems that let agents plan, use tools, browse, and verify at scale
• Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool calling interfaces, and scheduling for cost, latency, and quality
• Build secure sandboxed execution for agent actions and code. Optimize cold start, isolation, and observability
• Ship unified interfaces for multiple model sizes and providers. Integrate with open tool ecosystems such as MCP style connectors for data and actions
• Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time
• Partner with Research, Inference, and Search to land new agent capabilities end to end, from prototype to production