Member of Technical Staff, AI Products (Early Career - Industry)
Join Perplexity AI as a Fullstack Engineer to build user-facing AI products in a fast-paced startup environment.
Posted by employer 2 days ago
First seen on Joblaze 4 days ago
Last verified on the company career page 44 minutes ago
Skills & Technologies
What you'll build
- Own a user-facing surface end to end
- Ship to production continuously
- Turn ambiguous product ideas into working prototypes
- Raise the quality bar on reliability and latency
- Work directly with designers, PMs, and research engineers
Must have
- 1+ years of professional software engineering experience
- Strong in at least one backend language
- Comfortable working in React and TypeScript
Nice to have
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS
- Experience building on top of LLMs
- Product taste
- A public track record we can read
AI in the day-to-day
We expect you to use agents and coding models aggressively to move faster.
Requirements
- Experience
- 1+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this full-stack role at Perplexity AI, the individual will take ownership of user-facing surfaces, managing everything from design to backend logic and data models. Proficiency in backend languages like Python or Go, along with frontend skills in React and TypeScript, is essential, as is a hands-on approach to building AI-driven products. This position is ideal for early-career engineers who thrive in ambiguous environments and have a proven track record of shipping production code. The team emphasizes rapid deployment and collaboration, allowing new hires to contribute meaningfully from the outset.
Joblaze insights
- Listed 4 days ago — first seen on Joblaze September 19, 2026. Last confirmed on Perplexity AI's careers page September 23, 2026.
Quick facts
- How much experience is required?
- At least 1 year of relevant experience for this Member of Technical Staff, AI Products (Early Career - Industry) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Docker, Go, PostgreSQL, Python, React.
- What seniority level is this role?
- Perplexity AI targets junior candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, AI Products (Early Career - Industry) role at Perplexity AI.
From the original posting
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, apply via the school-specific links distributed on your campus).
About the role
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
What you will do
Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
Ship to production continuously. New engineers typically have code in front of users in their first week.
Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
Raise the quality bar on reliability, latency, and craft for the surfaces you own.
Work directly with designers, PMs, and research engineers, without unnecessary process in between.
What we look for
1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
Nice to have
Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
Product taste. You can tell a good interface from a bad one and explain how to improve it.
A public track record we can read, such as GitHub, a technical blog, or a demo we can try.