Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

Scale AI
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Multi-tasking","Quick learning","Problem-solving"]

Own major new areas of an enterprise-grade generative AI platform, working across backend and frontend while integrating LLMs and ML models. Tackle hard reliability and scalability challenges for large-scale distributed systems, and deliver experiments quickly with high quality across the full product lifecycle. Ideal candidates bring strong software engineering fundamentals plus hands-on experience productizing LLMs, vector databases, and modern cloud infrastructure.

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FursaFursa
Scale AI
Scale AI
2 months ago

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own major new areas of an enterprise-grade generative AI platform, working across backend and frontend while integrating LLMs and ML models. Tackle hard reliability and scalability challenges for large-scale distributed systems, and deliver experiments quickly with high quality across the full product lifecycle. Ideal candidates bring strong software engineering fundamentals plus hands-on experience productizing LLMs, vector databases, and modern cloud infrastructure.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Own large new areas within the product.
  • •Work across backend, frontend, and interacting with LLMs and ML models.
  • •Deliver high-velocity, high-quality experiments to engage customers.
  • •Work across the full product lifecycle from conceptualization through production.
  • •Multi-task and learn new technologies quickly to support product growth.

Key Requirements

  • •7+ years of full-time engineering experience post-graduation.
  • •Experience scaling products at hyper growth startups.
  • •Experience productizing LLMs and vector databases (and other current AI technologies).
  • •Proficiency in Python or JavaScript/TypeScript, and SQL.
  • •Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).
Experience:7+ yearsEnterprise AIGenerative AILLMsVector databasesLarge-scale distributed systemsHyper growth startups
Skills:Multi-taskingQuick learningProblem-solving
Languages:English
Tech Stack:PythonJavaScriptTypeScriptSQLKubernetesAWSAzureGCPLLMsVector databases

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