Senior Software Engineer, Full-Stack – Scale GP
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 216200 - 270250
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval inference evaluation and more. We are seeking a strong Senior Full-Stack Engineer to help us build scale and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stackfrom React/TypeScript frontends to Python-based backendswhile integrating with LLMs and machine learning systems.
You will solve complex challenges in scalability reliability and product experience while owning significant product areas in a fast-paced environment.
What Youll Do
- Own major full-stack product areas driving features from design through production deployment.
- Build modern frontend experiences using React and TypeScript ensuring performance usability and responsiveness.
- Develop reliable backend services in Python working with distributed systems data pipelines and ML/LLM components.
- Integrate with LLMs vector databases and AI infrastructure to power intelligent product experiences.
- Deliver experiments and new features quickly maintaining high quality and tight feedback loops with customers.
- Collaborate across product ML and infrastructure teams to shape the direction of Scale GP.
- Adapt quicklylearning new technologies frameworks and tools as needed across the stack.
Ideal Experience
- 5 years of full-time engineering experience post-graduation.
- Strong experience developing full-stack applications using React TypeScript and Python.
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs vector databases embeddings or other modern AI tooling (tinkering or production experience welcome).
- Proficiency with SQL and modern API development.
- Experience with Kubernetes containerization and microservice architectures.
- Experience working with at least one major cloud provider (AWS GCP or Azure).
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 determined by work location and additional factors including job-related skills experience 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. Youll 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.
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$216200 - $270250 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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Cisco DLA Piper 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 Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.
