Software Development Engineer, AI Platform

Adobe Document Clouds AI team is building the next generation of AI-powered features powering Acrobat AI Assistant spanning billions of PDFs and millions of transactions monthly. Were looking for a Software Development Engineer to help build and maintain the backend services tooling and pipelines that enable our Machine Learning Engineers to develop evaluate and ship production-ready AI features at speed.

This role ideal for someone with solid backend fundamentals who wants to grow their experience working at the intersection of software engineering and applied AI. Youll contribute directly to the systems that power features like question-answering document summaries suggested questions and attribution. All deployed across cloud platforms desktop environments and mobile devices at global scale.

• Design build and maintain scalable backend services and APIs that support Acrobat AI Assistant features and the ML pipelines that power them.
• Develop and maintain data pipelines for model evaluation prompt testing and feature monitoring with an emphasis on reliability observability and clean modular design.
• Build internal tooling SDKs and abstractions that reduce toil for ML Engineers and accelerate the path from prototype to production.
• Implement and uphold guidelines in code layering asynchronous system build and modular architecture for maintainable testable codebases.
• Participate in pull request reviews and contribute to a culture of engineering quality and collaborative learning.
• Contribute to service releases coordinate with feature teams and support globally deployed systems with operational rigor.
• Help automate ML workflow steps such as evaluation harnesses prompt pipeline testing and LLM-as-a-judge tooling.
• Collaborate closely with machine learning developers and feature teams to understand requirements and translate them into well-scoped engineering solutions.

Required Qualifications

• B.S. or M.S. in Computer Science or equivalent experience at a similar level.
• More than 2 years of experience in production software engineering concentrating on backend services and infrastructure.
• Proficiency in Python including writing clean unit-tested and well-documented code; familiarity with frameworks such as Pydantic or LangChain is a plus.
• Experience crafting and implementing concurrent and asynchronous systems using Python or Go.
• Solid understanding of OOP principles (encapsulation inheritance polymorphism abstraction) and common patterns used to build software (Singleton Factory Observer Strategy).
• Solid grasp of event-driven architectures and non-blocking I/O operations.
• Proficiency writing unit and integration tests; strong debugging skills across service boundaries.
• Familiarity with cloud platforms (AWS GCP or Azure) and containerized deployment (Docker Kubernetes).
• Strong communication skills and a collaborative approach to working across engineering and ML teams.

• Familiarity with integrating language models into feature pipelines including timely engineering and vector search techniques.
• Experience in building and launching machine learning models for use in production environments.
• Experience working with the Agentic platform.
• Experience with or interest in MLOps tooling: experiment tracking model lifecycle management or evaluation frameworks.
• Exposure to CI/CD pipeline build particularly in cloud or ML environments.
• Experience developing and maintaining RESTful APIs and reviewing client-service contract specifications.
• Familiarity with large-scale data processing technologies such as Kafka or Spark.
• Experience with monitoring and observability systems applied to distributed or AI-powered services.

• Develop products that reach millions of users. Your code operates within Acrobat worldwide on cloud desktop and mobile platforms.
• The tooling and pipelines you build directly multiply ML Engineer output.
• Grow your skills at the frontier of applied AI working alongside deep ML practitioners on GenAI and agentic systems.
• Collaborative fast paced team with real ownership and room to build technical direction as you develop.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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Expected Pay Range:

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).

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