GrepJob
Scale AI

Forward Deployed AI Engineer, Enterprise

Scale AI
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about 2 hours ago
San Francisco, CA, USA or New York, NY, USAMid Level / Senior
H1B Sponsor

Base Salary

$180k - $225k/yr

Responsibilities

  • Partner with enterprise customers to understand their technical infrastructure and business requirements.
  • Design and implement custom integrations between Scale AI's platform and customer data environments.
  • Build robust data connectors and ETL pipelines for AI workflows.
  • Deploy and configure AI models within customer security and compliance boundaries.
  • Develop production-grade AI agents tailored to customer use cases.
  • Architect multi-agent systems for orchestrating different models and data sources.
  • Implement evaluation frameworks to measure agent performance.
  • Design human-in-the-loop workflows for continuous agent improvement.
  • Create sophisticated prompt engineering strategies for customer-specific domains.
  • Conduct systematic prompt experimentation and A/B testing.
  • Serve as the primary technical point of contact for strategic enterprise accounts.
  • Collaborate with customer data scientists and engineers for smooth integration.
  • Provide technical training and knowledge transfer to customer teams.
  • Document technical architectures and best practices.
  • Debug complex technical issues across the entire stack.
  • Rapidly prototype solutions to unblock customers.

Requirements

  • 4+ years of software engineering experience with strong fundamentals in data structures and algorithms.
  • Production Python expertise with experience in modern ML/AI frameworks.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Strong problem-solving skills with the ability to navigate ambiguous requirements.
  • Excellent communication skills to explain complex technical concepts.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • Learning and development stipend.
  • Generous PTO.
  • Potential commuter stipend.

Tech Stack

AWSAzureDockerGoogle Cloud PlatformKubernetesPythonTerraform

Categories

AI & MLData EngineeringDevOps