Backend Software Engineer - Finance

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 an experienced Backend Engineer to join the team building Perplexity Finance. Perplexity Finance is one of our fastest-growing products, enabling retail investors to do their best work and financial research. You’ll build products for our finance dashboard as well as for Perplexity search and Comet, which are 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 — all with the goal of making premium-quality financial data and decision-making available to users globally.

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