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# Sr Full Stack Engineer, Creator Services

- **Company:** Adobe Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $159,200.0 - $301,600.0
- **Contract:** Permanent contract
- **Skills:** Flutter, Adobe Creative Cloud, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Fault Tolerance, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Node.Js, OAuth, Recommender Systems, OpenAI, Azure Machine Learning, Systems Integration, TypeScript, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Adobe, Low Latency, Semrush, Graphql, Machine Learning Operations, React Native, Front End Software Development, Restful APIs, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-full-stack-engineer-creator-services-san-francisco-ca--ef5e6132-2442-4c80-910f-dbfecb2a588b

## About the Role

Artificial Intelligence (AI), Adobe Product Family, Scientific Research, Product/Service Launch, Startup, Negotiation Skills, Affiliate Marketing, User Interface/Experience (UI/UX), React Native, Application Programming Interface (API), * 5+ years shipping full-stack products end-to-end (front-end + back-end + APIs) - startup or 01 experience strongly preferred.

 * Proficiency in a modern back-end environment like Python or Node with TypeScript is required. Experience with a contemporary app/front-end stack such as React, React Native, or Flutter is also necessary. Mobile-first experience is a strong plus.
 * Hands-on experience building with LLM APIs and agent frameworks; solid grasp of latency, cost, evals, and fallbacks in production - not just prototypes.
 * Experience designing and building scalable APIs, backend services, and data pipelines from scratch.
 * Comfort with cloud infra (Azure/AWS/GCP) and standing up services in a resource-constrained startup environment.
 * Ability to move fast under ambiguity, own outcomes end-to-end, and work effectively in a small, flat team.
 * A genuine interest in the creator economy and the tools creators use to build their businesses.

Bonus

 * Experience with third-party social/platform APIs (YouTube Data API, Instagram Graph API, TikTok for Developers).
 * Familiarity with the Adobe ecosystem - Firefly APIs, Adobe IMS, Creative Cloud integrations.
 * Experience with recommender or ML-serving systems; Colligo or similar ML infrastructure.

About Adobe

## Description

* Product Build (Front-to-Back): Build the mobile-first creator app and micro-studio (front-end) and the services behind it (back-end/APIs), turning research and product vision into a live product creators use daily. Stack: React / React Native or Flutter on the front-end; Python and/or Node/TypeScript on the back-end.
 * Develop and manage multi-agent pipelines and prediction serving. This includes cost-efficient inference, caching, and graceful degradation when model providers falter. Also, include eval instrumentation to catch regressions in production.
 * Model Productionization: Collaborate closely alongside the lead researcher to transform model outputs into responsive, low-latency creator workflows. Support deployment of trainable model components alongside base model APIs (Azure OpenAI) on Colligo (Adobe's ML platform).
 * Integrations: Build integrations with external creator platforms (YouTube, Instagram, TikTok via creator-authorized OAuth), Adobe's wider suite of creative tools (Express, Firefly, Adobe Creative Suite, IMS), Semrush, and internal Adobe services.
 * Data Pipelines: Build the data pipelines that feed the audience intelligence, insight, and prediction engines - including the outcome-feedback loop that lets the system learn from real creator results.
 * Architecture Ownership: Own architecture decisions as an early hire - from framework choices to data models to deployment pipelines
 * Observability & Reliability: Contribute to monitoring, observability, and evaluation frameworks that ensure AI-driven features behave reliably and transparently for creators.