Software Engineer - AI Enablement
$180k - $225k • San Francisco, CA
Posted 5d ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Categories
AI Engineer
About the job
Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.
Responsibilities
- Own full-stack features and projects end-to-end, from design through production deployment.
- 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.
Requirements
- 3+ years of full-time software engineering experience.
- Solid full-stack fundamentals with production ownership of features shipped.
- Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools.
- Exposure to distributed systems and cloud-based architectures.
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend