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Software Engineer, API Platform

PerplexitySan FranciscoPosted Jun 11, 2026
Backend EngineerStaff
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56d ago
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Job description

Perplexity API Platform

Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.

From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.

Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.

About this role

Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.

As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).

Key Responsibilities

  • Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.

  • Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).

  • Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.

  • Harden system security and reliability across heterogeneous compute environments.

  • Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.

  • Uphold engineering excellence through design reviews, code quality, and internal documentation.

Qualifications

  • 5+ years of backend engineering experience with Python, Go, or Rust.

  • Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.

  • Hands-on cloud experience (AWS preferred), along with fluency with Kubernetes, CI/CD, and modern DevOps practices.

  • Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.

  • Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.

View original posting on Ashby

What applying to Perplexity usually looks like

Based on publicly available information, candidates applying through ashby for roles at Perplexity can generally expect an initial online application followed by a recruiter screening call to discuss background and role fit. The process may include multiple stages such as a hiring manager conversation, technical or role-specific assessments, and panel interviews with cross-functional team members, depending on the position applied for—technical roles like engineering or research often involve coding or system design exercises, while go-to-market and operations roles may emphasize case studies or scenario-based discussions. Communication is typically handled through the Ashby platform, which may send automated status updates. Response times vary and can depend on team availability and hiring urgency. Candidates should prepare to articulate relevant experience clearly and may be asked to complete take-home assignments or practical exercises before advancing further in the process.

Based on publicly available information. LandEarly does not verify interview process details.

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