Software Engineer - AI Enablement

Scale AI
San Francisco
Workplace: OnsiteFull timeUSD 180,000 - 225,000 annuallyFunction: Software EngineeringExperience: 3+ yearsSkills: ["Product intuition","Customer empathy","Entrepreneurial mindset","Ownership mentality","Cross-functional collaboration"]

Build full-stack, end-to-end features for an AI Enablement team creating agent-powered tools that ground AI in real operational workflows. Own projects from design to production deployment, developing TypeScript/Python backend services, integrating LLMs with embeddings, vector databases, and agentic frameworks, and shipping through fast experimentation loops while maintaining reliability. Work closely with product, forward-deployed engineers, data scientists, and applied AI teams.

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FursaFursa
Scale AI
Scale AI
15 hours ago

Software Engineer - AI Enablement

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build full-stack, end-to-end features for an AI Enablement team creating agent-powered tools that ground AI in real operational workflows. Own projects from design to production deployment, developing TypeScript/Python backend services, integrating LLMs with embeddings, vector databases, and agentic frameworks, and shipping through fast experimentation loops while maintaining reliability. Work closely with product, forward-deployed engineers, data scientists, and applied AI teams.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own full-stack features and projects end-to-end from design through production deployment within a larger product area.
  • •Develop reliable backend services in TypeScript/Python, working with distributed systems, data pipelines, and AI/ML infrastructure.
  • •Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows.
  • •Ship quickly through tight experimentation loops while maintaining high quality and reliability.
  • •Adapt across the stack and learn new tools as needed to solve real problems end-to-end.

Pay and Benefits

Salary: USD 180,000 - 225,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •3+ years of full-time software engineering experience.
  • •Strong full-stack fundamentals with production ownership of features you shipped.
  • •Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools.
  • •Exposure to distributed systems and cloud-based architectures.
  • •Product-minded engineering with comfort working end-to-end across the stack as you solve real problems.
Experience:3+ yearsSaaSAI/ML
Skills:Product intuitionCustomer empathyEntrepreneurial mindsetOwnership mentalityCross-functional collaboration
Languages:English
Tech Stack:TypeScriptPythonLLMsEmbeddingsVector databasesAgentic frameworksDistributed systemsCloud-based architecturesData pipelines

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