Software Development Engineer- AI/ML

About the Role

Key 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.
• 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.

Requirements

• B.S., M.Sc., 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 (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.

Qualifications

• Educational background in Computer Science or related field (B.S., M.Sc., or Ph.D.).
• At least 5 years of practical experience in software development.

Benefits & Perks

• The U.S. pay range for this position is $133,900 -- $242,000 annually.
• Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience.
• Additional incentives may include long-term incentives in the form of a new hire equity award.