Sr. Software Development Engineer -AI/ML

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity:

Adobe Document Cloud’s AI team is seeking a Senior Software Engineer to improve our next generation of AI-enabled features. Our scale involves billions of PDFs and millions of transactions monthly. Join the core team managing the central repository supporting all feature development and backend services for the Acrobat AI Assistant. This role is pivotal in encouraging rapid feature development and building production-ready componentry used countless times daily to serve our customers. We support features like question-answering (QA), suggested and related questions, attributions, document summaries, and more.

Recent public features: Liquid Mode for PDF reflow on mobile, PDF Extract API, Table Decomposition in Liquid Mode, new generative AI features. All products powered by AI, deployed on mobile, cloud, and desktop.

What You’ll Do:

• Design, build, and maintain scalable and efficient code solutions for the Acrobat AI Assistant.
• Develop and review specifications for safe client-service contracts, ensuring clear, concise, and secure interactions.
• Implement standard methodologies in code layering and modular design for robust and maintainable codebases.
• Conduct detailed reviews of pull requests and debug complex service integration issues.
• Lead the coordination and execution of service releases, ensuring they meet rigorous production standards.
• Work closely with feature teams to facilitate effective communication and knowledge sharing.
• Boost engineering efficiency by empowering your fellow engineers with excellent tooling and systems.
• Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market.

What You’ll Need to Succeed:

• B.S., M.Sc., or Ph.D. in Computer Science or equivalent practical experience with 5+ years of experience.
• Extensive background in software development, specifically in backend infrastructure, emphasizing code layering and architectural standard methodologies.
• Proficiency in crafting and implementing concurrent and asynchronous systems using languages such as Python, JavaScript (Node.js), or Go.
• Familiarity with integrating language models within a feature pipeline.
• Strong understanding of event-driven architectures and non-blocking I/O operations.
• Understanding of OOP principles such as encapsulation, inheritance, polymorphism, and abstraction.
• Familiarity with common design patterns (e.g., Singleton, Factory, Observer, Strategy).
• Proficiency in writing unit and integration tests for object-oriented systems. Strong debugging skills.
• Proficiency in Python, with the ability to write clean, unit-tested, and well-documented code using docstrings. Familiarity with frameworks such as LangChain and Pydantic is highly desirable.
• Familiarity with timely engineering, vector search techniques, and similar AI/ML technologies.
• Experience or willingness to learn how to build and review specifications for client-service contracts.
• Strong interpersonal skills with the ability to lead, mentor, and work collaboratively in a fast-paced environment.
• A proactive approach to identifying and resolving technical challenges independently.
• Flexibility in fast-paced environments.

Nice to Have:

• Experience in developing and deploying machine learning models in production environments.
• Expertise in continuous integration/continuous deployment pipelines, particularly in cloud environments.
• Experience with building and maintaining large-scale data processing systems, with a strong understanding of technologies like Kafka and Spark.
• Familiarity with networking protocols and monitoring systems, as well as experience in developing and maintaining RESTful APIs.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $153,