Senior Software Engineer (Machine Learning & Infrastructure)

Job Description

Adobe Document Cloud's AI team is seeking a Senior Software Engineer to enhance our upcoming features. Our platform processes billions of PDFs and millions of transactions monthly. Join our core team responsible for managing the central repository that supports all feature development and backend services for the Acrobat AI Assistant. This role is crucial in facilitating fast feature development and building reliable components used extensively every day to serve our customers. We support features like question-answering (QA), suggested and related questions, attributions, document summaries, and more.

Responsibilities

• 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.
• Apply standard methodologies in code layering and modular design to ensure the development of robust and easily 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.
• Accelerate engineering productivity 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.

Requirements

• B.S., M.Sc., or Ph.D. in Computer Science or equivalent practical experience with 5+ years of experience.
• Extensive software development experience, specifically in backend infrastructure, emphasizing code organization and architectural standard methodologies.
• Proficiency in designing 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 prompt engineering, vector search techniques, and similar AI/ML technologies.
• Experience or willingness to learn how to create 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 high-pressure settings.

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.

Inclusivity Statement

We are committed to building an inclusive and diverse work environment. We strongly encourage individuals from under-resourced groups, people of color, individuals with disabilities, and veterans to apply. We believe that a diverse range of perspectives and backgrounds strengthens our team, and we welcome all candidates who embody our values of collaboration, innovation, and respect.

Compensation

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 $124,000 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.