Software Engineer - Agent Infra

Perplexityai

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Palo Alto San Francisco Until 8/21/2026 H-1B sponsor history First posted September 9, 2025 Last posted September 9, 2025
Job description

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. 

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.

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

  • 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.

The cash compensation range for this role is $200,000 - $300,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

 

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.

About this role

Summary

Build scalable infrastructure for AI agents, including runtime, orchestration, and evaluation systems.

Job title

Software Engineer - Agent Infra

Experience level

6+ years

Industry

software

Location requirements

Palo Alto or San Francisco, remote work allowed

Salary

$200,000 - $300,000

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

PythonJavaGoservice designAPIsdata modelscontainersvirtualizationsandboxing

Preferred skills

agent orchestration pipelinesRLevaluationMCPsecurity hardening

Specializations

agent applicationstool callingorchestrationsandboxinglarge scale systems
Locations

Structured locations inferred from the posting.

Palo Alto, CA, USA

Remote City

San Francisco, CA, USA

Remote City