Full Stack Engineer with strong expertise in TypeScript, JavaScript, and Web Component Frameworks, and hands‑on experience building multistage LLM pipelines and AI‑powered content generation systems.
In this role, you will own end‑to‑end feature development, contribute to system design, and help integrate AI capabilities into product experiences. You will work closely with cross‑functional teams to build scalable, reliable, and intelligent systems that improve user productivity and automate complex workflows.
Key Responsibilities
AI / Agentic Workflows (Primary Focus)
- Build and integrate AI‑powered features using LLMs and external AI services.
- Design and implement agentic workflows involving multi‑step task execution, tool usage, and state management.
- Contribute to prompt design, evaluation, and iteration to improve quality and reliability of AI outputs.
- Implement basic guardrails, monitoring, and fallback mechanisms for production‑grade AI systems.
- Collaborate with product and design teams to identify opportunities for AI‑driven automation and user value.
Full Stack Development
- Design, develop, and maintain end‑to‑end features across frontend and backend systems.
- Build scalable frontend applications using React, TypeScript, and modern JavaScript.
- Develop backend services and APIs to support application and AI workflows.
- Ensure performance, reliability, and maintainability of systems.
System Design & Collaboration
- Participate in low‑to‑mid complexity system design discussions.
- Break down ambiguous requirements into clear technical tasks and deliverables.
- Collaborate effectively with product managers, designers, and QA.
- Contribute to code reviews and uphold engineering best practices.
Tooling & Engineering Excellence
- Work within monorepos using Bazel and Rush.
- Use Git for version control and code reviews.
- Track work and execution using Jira in Agile environments.
- Contribute to CI/CD pipelines, testing, and release processes.
Required Qualifications
- 4–6 years of experience in software engineering.
- Strong proficiency in TypeScript, JavaScript, Lit or other web component frameworks (React is a plus).
- Experience building full‑stack applications (frontend + backend).
- Hands‑on experience integrating AI/LLM APIs into applications.
- Hands‑on experience with multistage LLM pipelines – writing, debugging, and iterating system prompts for structured JSON output from models.
- Familiarity with REST APIs, asynchronous systems, and distributed services.
- Experience with Git‑based workflows and Agile development using Jira.
- Strong debugging, problem‑solving, and communication skills.
Preferred Qualifications
- Knowledge of backend frameworks (e.g., Node.js, Express, or similar).
- Familiarity with Bazel and Rush in large‑scale codebases.
- Experience with observability, logging, and monitoring for production systems.
- Familiarity with CI/CD pipelines and automated testing.
- Understanding of secure and responsible AI practices.
What Success Looks Like
- Independently delivers well‑scoped features end‑to‑end.
- Writes clean, maintainable, and well‑tested code.
- Demonstrates good judgment in using AI capabilities effectively.
- Actively contributes to team velocity and code quality.Begins to mentor junior engineers and influence best practices.
Why Join
- Build AI‑first product experiences at scale.
- Work on modern web architecture + intelligent workflows.
- Collaborate with high‑performing teams in a product‑driven engineering culture.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.