#23653 - Full Stack Developer

QualityAI•Menlo Park, CA

6d•$160,000 - $170,000•Onsite

About The Position

We are seeking a strong Full-Stack / Backend Engineer to help design, build, and operate backend services and product surfaces that power internal tools and AI-driven workflows. This role is best suited for an engineer who is highly practical, execution-oriented, and comfortable working across the stack from backend APIs and infrastructure to user-facing interfaces and mobile surfaces. The ideal candidate has strong hands-on experience in Python and TypeScript and is comfortable deploying modern systems in cloud-native environments. Experience with GenAI systems, orchestration, and production deployment pipelines is highly valuable. Rust is a strong plus for performance-sensitive backend work.

Requirements

Strong hands-on production experience building backend systems in Python
Solid proficiency in TypeScript and modern front-end development using React
Experience building and maintaining internal tools, APIs, or product workflows end-to-end
Practical experience with cloud-native engineering, including: Kubernetes, Terraform, AWS CDK, Containers / containerization, CI/CD
Hands-on experience building or integrating GenAI systems in real products or internal tooling contexts
Familiarity with one or more of the following: Model serving / inference workflows, Evaluation / monitoring pipelines, Orchestration / workflow systems, RAG pipelines, Agent-style system integrations
Strong software engineering fundamentals, including: Code quality, Testing, Debugging, Performance awareness, Maintainable system design

Nice To Haves

Experience building mobile applications or product surfaces for: Android, iOS, React Native
Experience delivering GenAI systems to production or near-production environments
Strong familiarity with orchestration and workflow systems for AI-enabled applications
Experience operating Kubernetes and Terraform in production environments
Experience integrating internal services with: Observability systems, Security systems, Storage systems, Data pipelines
Proficiency in Rust for high-performance or systems-oriented backend development
Strong product instincts and the ability to move fluidly between prototyping and production-minded implementation

Responsibilities

Design, implement, and maintain backend APIs and internal services using Python
Contribute to service architecture, reliability, and maintainability for internal product workflows
Build integrations with internal and external systems, including data, storage, authentication, and service layers
Where appropriate, contribute to performance-sensitive backend components, with Rust as a plus
Build and maintain user-facing interfaces and internal tools using TypeScript, React, and related modern web technologies
Design and implement polished internal product experiences with strong usability and practical workflow support
Partner on product implementation across desktop and web surfaces
Support or build high-priority mobile product surfaces across Android, iOS, and/or React Native
Help extend internal tooling and workflows into mobile-first experiences where needed
Collaborate on practical mobile UI architecture and implementation decisions
Deploy and operate services in modern cloud-native environments
Work with Kubernetes, Terraform, containers, and CI/CD pipelines
Support reliable service rollout, iteration, and operational stability
Contribute to deployment workflows, environment configuration, and developer velocity
Build and integrate end-to-end GenAI-enabled systems and workflows
Support model serving and inference pipelines, evaluation and monitoring systems, and orchestration workflows
Contribute to practical AI product integrations such as: Retrieval-Augmented Generation (RAG), Tool / agent orchestration, Evaluation pipelines, Workflow automation, Model-backed product surfaces