Software Development Engineer, AI Platform

Adobe Document Cloud's AI team is building the next generation of AI-powered features powering Acrobat AI Assistant spanning billions of PDFs and millions of transactions monthly. We're 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. You'll 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, Node.js, 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. Adobe's 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 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're 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.

Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

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).

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

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.