Full Stack AI Engineer at JigsawStack

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J
JigsawStack
Full Stack AI Engineer
United States

Our tech stack:

  • Frontend: NextJS/React
  • Backend: NodeJS
  • Language: Typescript
  • Infra: Serverless (Lambda) or Fly.io (Instances)
  • Database: Postgres (Supabase)
  • Query: SQL/GraphQL
  • GPU infra: Docker & Python (AWS, GCP, Azure, HuggingFace, and more)
  • E.g base models: Llama 3.3, YoloOCR
  • Payment/Billing: Stripe

What you will do:

  • Build new API & product services end-to-end, from the orchestration of a new database and backend instance to deploying scalable instances
  • Growing and maintaining our infra to handle millions of requests a day
  • Writing Typescript/Javascript code for backend APIs
  • Updating our frontend code in NextJS to keep products and documents up to date
  • Building a user-friendly front end for new services and products
  • Running and scaling model instances in Python with services like HuggingFace transformers
  • Experimenting with new AI technologies and tools like LLMs, Image models, Audio models, and more
  • Working with a wide range of different models, from OCR models to translation, and TTS. E.g. Llama 3.3, YoloOCR
  • Great at Prompt Engineering
  • Create technical examples and interactive tools to engage and inspire the developer community

Who you are:

  • A strong full-stack engineer with at least 5 years of experience in NodeJS and Python
  • Worked with most of our tech stack stated above
  • Comfortable working across the stack, including backend application development, infrastructure tasks such as deploying, monitoring, and scaling services, as well as front-end design and deployment
  • Using AI to 100x your productivity
  • Natural curiosity to experiment with new ideas and projects while working closely with our community of developers
  • You care about building great products and love to geek out about the tech that enables these experiences
  • Open to feedback and have a growth mindset

Bonus if you:

  • Closer to the United States timezone as it’s our primary focus at our current stage
  • Have worked on AI projects or have deployed models on any GPU provider like AWS, Fly GPUs
  • Previously ran a startup or worked as a founding team member in a startup

Benefits:

  • Great compensation package and equity/shares
  • Flexible and remote-friendly
  • Annually run off-sites
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
  • Annual Education Allowance
  • Let’s build benefits together

Process:

  • The entire process is fully remote and all communication will happen over email or via video chat.
  • Once you've submitted your application, the team will review your submission and may reach out for a short screening interview over a video call.
  • If you pass the screen you may be invited to complete a short task or discuss your past work.
  • If you pass the task/screen you will be invited to up to 2 follow-up interviews. The calls:usually take between 20-45 minutes each depending on the interviewer. are all 1:1. will be with both founders, a member of either the growth or engineering team (depending on the role) and usually one other person from your immediate team or function.

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