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The Opportunity:Adobe Document Clouds AI team seeks a Senior Software Engineer to enhance our next generation of AIdriven features. Our scale spans 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 fostering rapid feature development and building productionready componentry invoked countless times daily to serve our customers. We support features like questionanswering (QA) suggested and related questions attributions document summaries and most recent public features includeLiquid Mode allowing a flawless reflow experience for PDFs on phones and tablets;PDF Extract APIfor unlocking the structure and content elements of any PDF;Table Decompositionfeature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices in the cloud and on desktop.
What Youll Do:
- Design build and maintain scalable and efficient code solutions for the Acrobat AI Assistant.
- Develop and review specifications for safe clientservice contracts ensuring clear concise and secure interactions.
- Implement best practices 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.
- 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.
What Youll Need to Succeed:
- B.S. . or Ph.D. in Computer Science or equivalent practical experience with 5 years of experience.
- Strong experience in software development particularly in backend infrastructure with a focus on code layering and architectural best practices.
- Proficiency in designing and implementing concurrent and asynchronous systems using languages such as Python JavaScript () or Go.
- Familiarity with integrating language models within a feature pipeline.
- Strong understanding of eventdriven architectures and nonblocking 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 objectoriented systems. Strong debugging skills.
- Proficiency in Python with the ability to write clean unittested and welldocumented 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 clientservice contracts.
- Strong interpersonal skills with the ability to lead mentor and work collaboratively in a fastpaced environment.
- A proactive approach to identifying and resolving technical challenges independently.
- Flexibility in highpressure 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 largescale 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 positionis $133900 $242000 annually. Paywithin this range varies by work locationand may also depend on jobrelated knowledge skillsand 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 shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm incentives in the form of a new hire equity award.
StateSpecific 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.
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