S
Scale AI
Software Engineer (AI Enablement)
Skills
TypescriptPythonMachine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $225,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
19 August 2026
What they need
- Own full-stack features and projects end-to-end — from design through production deployment — within a larger product area
- Sample surfaces - Accounting Agents, Finance Copilots, GTM Agents, Agentic Experimentation Platforms
- Develop reliable backend services in Typescript/Python, work 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
Benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- 3+ years of full-time software engineering experience
- Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
- Solid full-stack fundamentals with production ownership of features you’ve shipped
- Exposure to distributed systems and cloud-based architectures
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