Senior Software Engineer, Full-Stack - Scale GP

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 stack-from React/Type Script 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 Type Script, 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

• 5+ years of full-time engineering experience, post-graduation.

• Strong experience developing full-stack applications using React, Type Script, 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 reference the job posting's 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:

$216,200 – $270,250 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, 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…