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JobsPerplexity AI

Backend Software Engineer - Mobile

Perplexity AI

Backend Software Engineer - Mobile

Perplexity AI

San Francisco

·

On-site

·

Full-time

·

1w ago

Required Skills

Python

Databases

Caching

AWS

Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products.

Tech Stack: Python | PostgreSQL | DynamoDB | Redis | FastAPI

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.

Qualifications:

  • 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

AI is at the heart of what we build, and using it effectively is an expectation for every role here. During interviews, we want to see how you think and make decisions—qualities that will directly influence our AI development. With that in mind, please avoid using AI tools throughout the process unless we indicate otherwise.

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About Perplexity AI

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.

51-200

Employees

San Francisco

Headquarters

$1B

Valuation

Reviews

4.0

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.5

Management

3.0

70%

Recommend to a Friend

Pros

Helpful tool for research and analysis

Useful for job application preparation

Effective for complex marketing challenges

Cons

Limited feedback provided

No specific criticisms mentioned

Insufficient detail on potential drawbacks

Salary Ranges

28 data points

Junior/L3

Junior/L3 · LLM Teacher

1 reports

$101,920

total / year

Base

$78,400

Stock

-

Bonus

-

$101,920

$101,920

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

HR Screen

3

Take-home Marketing Challenge

4

Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Digital Marketing Strategy

Campaign Performance Analysis

Behavioral/STAR

Technical Marketing Knowledge

Case Study