IT & Software

Frontier Agents Engineer

Scale AI

London · Greater London · United Kingdom

Overview

In this role, you will partner with enterprise customers to solve their generative AI challenges by building production-grade ML services that integrate into client products. You’ll fine-tune LLMs and implement Retrieval Augmented Generation, driving data-driven experiments to improve model performance. You’ll work closely with cross-functional teams and stakeholders to translate business needs into technical solutions, delivering measurable impact at scale. This is an opportunity to shape enterprise AI delivery and grow with a leading platform company.

Responsibilities
  • Own and optimize the customer's Generative AI problems, serving as the ML expert in customer discussions
  • Assess and combine tools to optimize LLM performance across scenarios
  • Ask focused questions about data and results to identify model weaknesses
  • Write, test, and debug Python code and solve programming problems
  • Translate business requirements into technical solutions
  • Meet with customer teams onsite and online, collaborating across data and ML squads
  • Explain complex technical concepts to non-technical stakeholders
  • Push production code in multiple environments across customer and Scale codebases
  • Deeply understand customer AI strategy, goals, and needs
  • Build relationships with technical stakeholders at all levels
  • Demonstrate ability to multi-task and rapidly learn new technologies
Key requirements
  • Bachelor’s degree in Computer Science, Mathematics, or another quantitative field (or equivalent strong engineering background)
  • 3+ years of engineering experience in a client-facing setting
  • At least 2 years of model training experience translating business problems into data/model problems
  • Strong data-driven approach; understanding how dataset changes affect outcomes
  • Experience with cloud stacks (AWS or GCP) and ML in the cloud
  • Proficiency in Python for writing, testing, and debugging code with libraries (e.g., numpy, pandas)
  • Ability to work in a fast-paced environment with ambiguity
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders
  • strong communication
  • cross-functional collaboration
  • analytical thinking
  • Python
  • numpy
  • pandas

Reference: WJ-747_30143245

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