Perplexity AI
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
Responsibilities
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.
Qualifications
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
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.
The cash compensation range for this role is $200,000 - $300,000.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Perplexity has an office-centric work model with 4 days per week in the office from the following locations: San Francisco or Palo Alto. Are you willing to come in 4 days per week?
If you are not based in any of these locations, are you open to relocation to either San Francisco or Palo Alto?
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Responsibilities
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.
Qualifications
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
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.
The cash compensation range for this role is $200,000 - $300,000.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Perplexity has an office-centric work model with 4 days per week in the office from the following locations: San Francisco or Palo Alto. Are you willing to come in 4 days per week?
If you are not based in any of these locations, are you open to relocation to either San Francisco or Palo Alto?
#J-18808-Ljbffr