Enterprise AI Platform Engineer

Scale AI, Inc.; New York (NY); On-site; USD 216,000 - 270,000; Full time

Benefits offered by this job

Health/dental/vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. is seeking a strong engineer to join Scale GP and help build and scale our Generative AI platform. You will own large new areas, work across backend, frontend, and interact with LLMs and ML models, delivering experiments at high velocity.

You will participate in the full product lifecycle from concept to production, and must be able to multi-task and learn new technologies quickly in a fast-paced, enterprise environment with competitive compensation and benefits.

Qualifications

• 4+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper growth startups.
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies.
• Proficient in Python or Javascript/Typescript, and SQL.
• Experience with Kubernetes.
• Experience with major cloud providers (AWS, Azure, GCP).

Responsibilities

• Own large new areas within our product.
• Work across backend, frontend, and interacting with LLMs and ML models.
• Deliver experiments at a high velocity and level of quality to engage our customers.
• Work across the entire product lifecycle from conceptualization through production.
• Be able, and willing, to multi-task and learn new technologies quickly.

Skills

Python

JavaScript/TypeScript

SQL

LLMs

Vector databases

Tools

Kubernetes

AWS

Azure

GCP

LLMs interaction

Job description

Scale AI, Inc. is seeking a strong engineer to join Scale GP and help build and scale our Generative AI platform. You will own large new areas, work across backend, frontend, and interact with LLMs and ML models, delivering experiments at high velocity.

You will participate in the full product lifecycle from concept to production, and must be able to multi-task and learn new technologies quickly in a fast-paced, enterprise environment with competitive compensation and benefits.