Member of Technical Staff (Software Engineer, API Platform)
Backend Engineer · Senior · Full Time
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Role
What you'll do.
Perplexity AI is seeking a highly skilled Member of Technical Staff to join their API Platform engineering team, focusing on designing and scaling mission-critical APIs that deliver frontier intelligence to developers. The ideal candidate will work on cutting-edge distributed systems, performance optimization, and agent orchestration while prioritizing exceptional developer experience.
Responsibilities
- API Design and Implementation: Design, build, and operate mission-critical APIs that provide customers with building blocks for frontier intelligence.
- Performance Optimization: Ensure low latency and high throughput through aggressive performance optimization, including optimizing upstream systems.
- Future-Focused Architecture: Continually reimagine future customer needs and develop architectures to serve emerging technological requirements.
- System Security and Reliability: Harden system security and reliability across heterogeneous compute environments.
- Cross-Team Collaboration: Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities.
- Engineering Excellence: Uphold high engineering standards through design reviews, code quality maintenance, and comprehensive internal documentation.
Qualifications
What we look for.
Technical
Programming Languages
Proficiency in backend engineering with Python, Go, or Rust
API Design
Deep understanding of high-traffic API design, including schema evolution, versioning, idempotency, authentication, rate limiting, and performance tuning
Cloud Infrastructure
Hands-on experience with cloud platforms (AWS preferred) and modern DevOps practices
Containerization
Fluency with Kubernetes and container orchestration
Education
Computer Science
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred
Experience
Backend Engineering
5+ years of backend engineering experience
AI API Experience
Experience with modern AI APIs, including latency tuning, streaming, and model orchestration
Skills
Required
Backend Development
Strong backend engineering skills in Python, Go, or Rust
API Design
Comprehensive understanding of API design principles and best practices
Cloud Computing
Proficient in cloud infrastructure and DevOps methodologies
Preferred
AI API Development
Nice to haveExperience with AI API development, model orchestration, and emerging technical standards
Distributed Systems
Nice to haveKnowledge of distributed systems architecture and performance optimization
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 220,000 – 405,000
Equity·Stock options
Benefits
Equity
Stock options or equity compensation offered
Process
Interview steps.
- 01
Initial Screening
Preliminary review of application and resume
- 02
Technical Interview
In-depth technical assessment of engineering skills and experience
- 03
System Design Interview
Evaluation of candidate's ability to design scalable API systems and infrastructure
- 04
Cultural Fit Interview
Assessment of alignment with Perplexity AI's engineering culture and innovation mindset
Full posting
Original listing.
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.
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