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Software Engineer (Enterprise AI)

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Onsite

Software Engineer (Enterprise AI)

Scale AI

Software Engineer (Enterprise AI)

Skills

Google Cloud PlatformSQL QueriesTypescriptPythonMachine LearningAIAWSKubernetesJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$160,000 – $254,400 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • 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

Benefits

  • Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
  • Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
  • Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
  • Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)
  • Proficient in Python or Javascript/Typescript, and SQL
  • 2+ years of full-time engineering experience, post-graduation
  • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
  • Experience scaling products at hyper growth startups

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