Backend Software Engineer - Mobile (San Francisco, Palo Alto, New York, Belgrade, London) at Perplexity AI

San Francisco, California, United States

Perplexity AI Logo
$200,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries

Requirements

  • Strong experience with Python
  • Strong experience with databases and caching
  • Experience with AWS cloud infrastructure at scale
  • Experience working with high-scale data and non-deterministic systems like LLMs
  • 4+ years of engineering experience

Responsibilities

  • Build scalable systems that ingest and process data from the web, files, and other sources
  • Optimize interfaces that interact with databases and caching systems
  • Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements
  • Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems
  • Manage a complex orchestration system with many moving parts and interfaces
  • Scale, optimize, and load balance multiple services with rapidly changing needs

Skills

Key technologies and capabilities for this role

PythonPostgreSQLDynamoDBRedisFastAPIAWSdatabasescachingscalable systemsdata processingLLMs

Questions & Answers

Common questions about this position

What is the salary range for this Backend Software Engineer position?

The salary range is $200K - $250K.

Is this position remote or does it require working from specific locations?

This information is not specified in the job description. Locations listed include San Francisco, Palo Alto, New York, Belgrade, and London.

What are the key skills required for this role?

Required skills include strong experience with Python, databases and caching (such as PostgreSQL, DynamoDB, Redis), AWS cloud infrastructure at scale, and high-scale data and non-deterministic systems like LLMs. The tech stack features Python, PostgreSQL, DynamoDB, Redis, and FastAPI.

What is the team like at Perplexity AI?

You will join a small team revolutionizing search and internet interaction, working closely with PMs, frontend engineers, AI, Search, and Data Science teams.

What experience level is needed to be a strong candidate?

Candidates need 4+ years of engineering experience, with strong backend skills in Python, databases, caching, AWS, and handling high-scale, non-deterministic systems.

Perplexity AI

Advanced answer engine providing reliable information

About Perplexity AI

Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.

San Francisco, CaliforniaHeadquarters
2022Year Founded
$890MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Consumer SoftwareIndustries
201-500Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Company Equity

Risks

Pending copyright infringement class action poses legal and financial challenges.
Competition from Google's AI Mode could impact user retention and market share.
Otterly.AI's brand visibility tool may pressure Perplexity to maintain high performance.

Differentiation

Perplexity AI integrates large language models with search engines for precise responses.
The platform offers an open-source environment, enhancing public access to AI tools.
Perplexity's strategic acquisition of Carbon boosts its data connectivity capabilities.

Upsides

Partnership with Tripadvisor enhances travel planning with personalized recommendations.
$500M funding round increases valuation to $9 billion, supporting growth and innovation.
Integration with FactSet attracts financial clients with enhanced data accessibility.

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