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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Prior work on agent orchestration pipelines: task routing, planning, memory graphs, vector search, or browser automation
Experience with evaluations, preference optimization, or RL to improve agent reliability
Exposure to MCP or similar open protocols for tool and data connectivity
Security hardening for multi tenant workloads, snapshotting, or untrusted code execution