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Full-Stack Product Engineer

LlamaIndex

Full-Stack Product Engineer

LlamaIndex

San Francisco

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Comprehensive health, dental, and vision insurance

Parental leave

401(k) matching

Healthcare

Parental Leave

Required Skills

Python

TypeScript

JavaScript

Join us and help shape the future of AI by defining the narrative around document understanding.

About the Role

We need a full-stack engineer who can ship AI products fast and isn't afraid to wear every hat in the closet. You'll build our SaaS platform with Next.js and Python, contribute to open-source frameworks, and work directly with customers to turn wild ideas into production reality. If you've launched AI apps that actual humans use and can go from "what if?" to "it's live" faster than most people can schedule a kickoff meeting, let's talk.

Responsibilities

  • Primary Front-end/full-stack work for our managed applications/SaaS offering.

  • FE stack Next.JS, shadcn, react-query, etc.

  • Backend stack: Python, Node.JS, K8s, Docker, Terraform, Cloud services, databases, etc.

  • Secondary General feature development, maintenance, and education for our open-source frameworks (Python and Typescript).

  • Secondary Work closely with prospects and customers to build POC and production solutions.

Qualifications

  • 2+ years of experience
  • Experience with shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.
  • Shipped AI/LLM-native applications - from UX to core algorithms.
  • Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.
  • Worked with product and design, demonstrating instances of wearing the PM hat yourself to proactively scope and design features.
  • Shipped applications that scaled to millions of users.
  • Nice to have: machine learning and NLP experience.

Location

We offer a hybrid-friendly culture based out of our downtown San Francisco office.

Why Join Us?

  • Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
  • Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
  • Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.

Additional Benefits

  • Competitive base salary and equity compensation
  • Comprehensive medical/dental/vision coverage for you and your family
  • Unlimited paid time off policy
  • Daily catered lunch and snacks in the San Francisco office

***Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.*Llama Index does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. Llama Index is not responsible for any fees related to unsolicited resumes.

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About LlamaIndex

LlamaIndex

LlamaIndex

Series A

LlamaIndex is an open-source data framework that enables developers to connect custom data sources to large language models. The company provides tools and infrastructure for building LLM-powered applications with retrieval-augmented generation capabilities.

1-50

Employees

San Francisco

Headquarters

Reviews

4.1

44 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

4.4

Career

4.3

Management

3.6

82%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Strong engineering culture with focus on code quality

Cons

Work-life balance can be challenging during product launches

Internal politics in some teams

Organizational changes and restructuring can be disruptive

Salary Ranges

4 data points

Senior/L5

Staff/L6

Senior/L5 · Full Stack Product Engineer

2 reports

$260,000

total / year

Base

$200,000

Stock

-

Bonus

-

$260,000

$260,000

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

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

FAISS/Vector Database

LLM/AI Experience