Software Engineer, Full Stack – Scale GP
Scale AI
Software Engineer, Full Stack – Scale GP
Job Description
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 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 stack—from React/TypeScript frontends to Python-based backends—while 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 You’ll 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 quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideal Experience
- 2+ years of full-time engineering experience, post-graduation working in a production environment.
- 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. 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.
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, 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 accommodations@scale.com. 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.
Locations
- San Francisco, CA,
- New York, NY,
Salary
Salary details available upon request
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Reactintermediate
- TypeScriptintermediate
- Pythonintermediate
- LLMsintermediate
- vector databasesintermediate
- embeddingsintermediate
- SQLintermediate
- modern API developmentintermediate
- Kubernetesintermediate
- containerizationintermediate
- microservice architecturesintermediate
- AWS, GCP, or Azureintermediate
- distributed systemsintermediate
- data pipelinesintermediate
- ML/LLM componentsintermediate
Required Qualifications
- 2+ years of full-time engineering experience, post-graduation working in a production environment (experience)
- Strong experience developing full-stack applications using React, TypeScript, and Python (experience)
- Experience scaling or shipping products at high-growth startups (experience)
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome) (experience)
- Proficiency with SQL and modern API development (experience)
- Experience with Kubernetes, containerization, and microservice architectures (experience)
- Experience working with at least one major cloud provider (AWS, GCP, or Azure) (experience)
Responsibilities
- 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 quickly—learning new technologies, frameworks, and tools as needed across the stack
Benefits
- general: Comprehensive health, dental and vision coverage
- general: retirement benefits
- general: a learning and development stipend
- general: generous PTO
- general: a commuter stipend
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer, Full Stack – Scale GP @ Scale AI.
Related Books and Jobs
Software Engineer, Full Stack – Scale GP
Scale AI
Software Engineer, Full Stack – Scale GP
Job Description
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 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 stack—from React/TypeScript frontends to Python-based backends—while 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 You’ll 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 quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideal Experience
- 2+ years of full-time engineering experience, post-graduation working in a production environment.
- 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. 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.
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, 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 accommodations@scale.com. 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.
Locations
- San Francisco, CA,
- New York, NY,
Salary
Salary details available upon request
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Reactintermediate
- TypeScriptintermediate
- Pythonintermediate
- LLMsintermediate
- vector databasesintermediate
- embeddingsintermediate
- SQLintermediate
- modern API developmentintermediate
- Kubernetesintermediate
- containerizationintermediate
- microservice architecturesintermediate
- AWS, GCP, or Azureintermediate
- distributed systemsintermediate
- data pipelinesintermediate
- ML/LLM componentsintermediate
Required Qualifications
- 2+ years of full-time engineering experience, post-graduation working in a production environment (experience)
- Strong experience developing full-stack applications using React, TypeScript, and Python (experience)
- Experience scaling or shipping products at high-growth startups (experience)
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome) (experience)
- Proficiency with SQL and modern API development (experience)
- Experience with Kubernetes, containerization, and microservice architectures (experience)
- Experience working with at least one major cloud provider (AWS, GCP, or Azure) (experience)
Responsibilities
- 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 quickly—learning new technologies, frameworks, and tools as needed across the stack
Benefits
- general: Comprehensive health, dental and vision coverage
- general: retirement benefits
- general: a learning and development stipend
- general: generous PTO
- general: a commuter stipend
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer, Full Stack – Scale GP @ Scale AI.
Related Books and Jobs