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About the Role
The CLM Workflow team builds Workflow Designer capabilities to automate complex agreement processes. As a Software Engineer Intern, you will work on an Expression AI Assistant to help users understand, debug, and optimize expressions within Workflow Designer. You will collaborate with engineers and product partners to prototype an assistant panel and ship features that enhance author productivity and workflow performance. This is a 3-month internship role.
Responsibilities
- Collaborate with the CLM Workflow engineering team to design and implement features for an Expression AI Assistant embedded in the Workflow Designer expression builder UI.
- Help build and refine an analysis engine that detects common anti-patterns, performance issues, and maintainability problems in workflow expressions, and surfaces clear recommendations to authors.
- Implement assistant capabilities that explain expressions in plain English, suggest optimizations, and generate expression scaffolds from natural-language descriptions of author intent.
- Contribute to UI integration work for the assistant panel, including workflows for running analyses, reviewing suggestions, and safely applying recommended changes in a test or preview environment.
- Participate in an 8-12 week project roadmap, from early research and design through feature implementation, user feedback, and final documentation of best practices and extensibility for future teams.
- Write clear technical documentation, share demos of your work with stakeholders, and incorporate feedback to improve usability and impact.
Requirements
- Currently enrolled in a Bachelor's degree program in a relevant field with an expected graduation date between December 2027 and May/June 2028.
- Pursuing a major in Computer Science, Software Engineering, or a closely related technical field.
- Experience with at least one modern programming language (e.g., C#, Java, TypeScript/JavaScript, or similar).
- Experience with basic data structures, algorithms, and debugging techniques.
- Experience collaborating in a hybrid team environment and communicating with engineers and product partners.
- Strong problem-solving skills, attention to detail, and willingness to learn from code reviews and feedback.
Skills
- Expression AI Assistant
- Workflow Designer
- Expression builder
- Analysis engine
- UI integration
- Technical documentation
- Modern programming languages (e.g., C#, Java, TypeScript/JavaScript)
- Data structures
- Algorithms
- Debugging techniques
- Modern web or application frameworks (e.g., React, Angular)
- AI/ML concepts
- Large language models
- Expression languages
- Scripting
- Configuration logic
- Workflow automation
- CLM
Location
- Chicago, IL
Work Type
- Hybrid
Experience Level
- Internship
Education Level
- Bachelor's degree program
Salary/Compensations
- $38 - $42 hourly base salary
Benefits
- Reasonable accommodations for qualified individuals with disabilities
About the Company
- Docusign brings agreements to life with over 1.8 million customers and more than a billion people in over 180 countries.
- The company uses intelligent agreement management to unleash business-critical data trapped inside documents.
- Docusign's AI-native IAM platform helps companies create, commit, and manage agreements.
- Docusign is the #1 company in e-signature and contract lifecycle management (CLM).
Equal Opportunity
- Docusign is committed to building trust and making the world more agreeable for employees, customers, and communities.
- All employees have an equal opportunity to succeed, be heard, exchange ideas, build relationships, and do the work of their life.
- Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in job application procedures.
- Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach.
- Docusign will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.