Frontier Agents Engineer

Scale AI
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Python","Numpy","Pandas","Cloud","AWS","GCP","Multimodal","Tool-calling","Generative AI"]

Join Scale AI as an Applied AI Engineer working with enterprise clients to design and deploy AI solutions using Scale’s Generative Platform. You’ll build next‑generation AI agents (multimodal, tool-calling), translate business requirements into technical ML implementations, and push production code across environments while collaborating with cross‑functional teams to solve high‑impact problems.

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FursaFursa
Scale AI
Scale AI
1 year ago

Frontier Agents Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join Scale AI as an Applied AI Engineer working with enterprise clients to design and deploy AI solutions using Scale’s Generative Platform. You’ll build next‑generation AI agents (multimodal, tool-calling), translate business requirements into technical ML implementations, and push production code across environments while collaborating with cross‑functional teams to solve high‑impact problems.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
  • •Leverage Scale Generative Platform to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
  • •Have experience gathering business requirements and translating them into technical solutions
  • •Meet regularly with customer teams onsite and virtually, collaborating cross‑functionally with all teams responsible for their data and ML needs
  • •Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases

Key Requirements

  • •Bachelor’s degree in Computer Science, Mathematics, or another quantitative field (or equivalent strong engineering background)
  • •Proficiency in Python with libraries such as NumPy and pandas
  • •Experience with cloud technology stacks (AWS or GCP) and developing ML models in a cloud environment
  • •Deep data‑driven approach to iterating on ML models and understanding how data changes affect results
  • •Experience gathering business requirements and translating them into technical solutions
Experience:EnterpriseAICloud
Education:Bachelor's
Skills:PythonNumpyPandasCloudAWSGCPMultimodalTool-callingGenerative AI
Languages:English
Tech Stack:PythonAWSGCPNumPyPandasScale Generative PlatformMultimodalTool-calling

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn