About this opportunity
Scale AI, Inc. lists this Software Engineer - AI Enablement opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Scale GP is Scale's enterprise Generative AI platform-APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises, helping teams turn complex data and models into reliable, production-ready AI systems.
We're building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. Our goal: help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. We don't build in a vacuum. You'll use our own platform to solve real business problems internally-then selectively commercialize that same stack for customers.
What we run on is what we sell.
This is a 01 team. We're looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch alongside customers and cross-functional partners. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions.
If you like shipping fast, owning outcomes, and working across the stack-from polished frontends to distributed backends to LLM integrations-this role is for you.
What You'll Do
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
Ideal Experience
3+ years of full-time software engineering experience
Solid full-stack fundamentals with production ownership of features you've shipped
Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
Exposure to distributed systems and cloud-based architectures
What We Value
Strong product intuition and customer empathy
Entrepreneurial mindset, building and implementing agentic workflows
Ownership mentality - you see problems through to outcomes
Comfort collaborating across engineering, product, data science, and applied AI
Excitement about building agentic systems that make AI genuinely useful in the real world
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$180,000—$225,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.