About the job
Exciting opportunity for a Forward Deployment Engineer and bridge the gap between product engineering and real-world solutions. Work hands-on with cutting-edge technologies, build scalable integrations, and collaborate with top engineers to deliver impactful solutions for Adobe’s largest clients. Shape the future of digital experiences with us!
Responsibilities
Build and Ship Fast: Rapidly design and implement features and integrations based on immediate customer requirements, moving quickly from 'whiteboard sketch' to working code.
AI-Driven Prototyping: Experiment with Generative AI and agentic workflows to create novel demos and automation tools that showcase the future of the Adobe ecosystem.
Production-Grade Engineering: Write clean, efficient, and testable Java/Scala code for high-availability systems and RESTful APIs.
Solve the Puzzle: Troubleshoot complex integration issues in real-time, performing root cause analysis when services don't behave as expected.
Collaborate & Learn: Partner with senior architects to understand the 'why' behind the build, while providing feedback to product teams on how customers are actually using our APIs and AI features.
Qualifications
Minimum
3+ years of software engineering experience with strong fundamentals in Java or Scala.
Experience building backend services using frameworks like Spring Boot.
Familiarity with LLM Development: You have used APIs (OpenAI, Anthropic, Gemini) to build applications and understand the basics of prompt engineering and context management.
Solid understanding of REST API concepts and how to consume/build web services.
Practical experience with SQL/NoSQL databases (you know how to write a query and design a basic schema).
Preferred
Agentic Frameworks: Experience playing with LangChain, Semantic Kernel, or AutoGPT concepts to build autonomous agents.
RAG Knowledge: Understanding of Retrieval-Augmented Generation (vector databases, embeddings) to ground LLM responses in real data.
Full-Stack Curiosity: Familiarity with frontend frameworks (React, Angular, or Vue) to build complete end-to-end demos.
Side Projects & Hackathons: A GitHub profile showing personal projects—especially those involving AI wrappers, chatbots, or automation tools.
Cloud Playground: Experience deploying your own apps to AWS, Azure, or GCP (e.g., deploying a Python AI bot on Lambda).
Data Tinkering: Basic exposure to data streaming (Kafka) or big data tools; you aren't afraid of large datasets.