Full-Stack Product Engineer

Reposted 24 Days Ago
San Francisco, CA
In-Office
150K-230K Annually
Junior
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
The Full-Stack Product Engineer will develop SaaS applications, collaborate with customers, and manage features while working with AI products.
Summary Generated by Built In

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.

LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

Top Skills

Cloud Services
Databases
Docker
K8S
Next.Js
Node.js
Python
Terraform
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The Company
HQ: San Francisco, California
44 Employees

What We Do

The data framework for LLMs

Python:
Github: https://github.com/jerryjliu/llama_index
Docs: https://docs.llamaindex.ai/

Typescript/Javascript:
Github: https://github.com/run-llama/LlamaIndexTS
Docs: https://ts.llamaindex.ai/

Other:
Discord: discord.gg/dGcwcsnxhU
LlamaHub: llamahub.ai
Twitter: https://twitter.com/llama_index
Blog: blog.llamaindex.ai

#ai #llms #rag

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