Company Overview Docusign brings agreements to life. More than 1.8 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using the Docusign AI-native IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do We are looking for a passionate and curious Agentic AI Engineer Intern to help build the next generation of autonomous AI workflows and multi-agent systems. In this role, you will work at the frontier of Generative AI, leveraging modern framework stacks like CrewAI, Python, SQL, and the Gemini ADK. You will collaborate closely with senior engineers to design, deploy, and evaluate autonomous agents capable of complex reasoning, tool usage, and task execution. This internship offers deep hands-on experience with LLMs, prompt engineering, agent orchestration, and evaluation frameworks. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics. Responsibility Design, build, and test collaborative AI agent workflows using CrewAI, Gemini ADK and Python Integrate Google’s Gemini ADK (and other modern LLM APIs) to power reasoning, function calling, and structured outputs Connect agents to databases (SQL), APIs, and internal tools to allow real-world execution and retrieval-augmented generation (RAG) Craft, benchmark, and refine system prompts, agent roles, and task descriptions to maximize task success rates and reduce hallucinations Assist in establishing quantitative evals and measurement frameworks to benchmark agent performance, accuracy, latency, and cost efficiency Monitor agent execution traces, debug multi-turn agent conversations, and implement fallbacks for robust behavior Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic Currently pursuing a Bachelor’s, Master’s, in Computer Science, Data Science, AI/ML, or a related technical field Graduating in December 2027 and May/June 2028 Experience with Python and fundamental data structures Experience with SQL and relational database concepts Experience with Large Language Models (LLMs) and core concepts (tokenization, context windows, function calling/tool use) Experience with CrewAI or similar agentic frameworks (e.g., LangChain, Google ADK) This role is not eligible for CPT, OPT or sponsorship now or in the future Preferred Hands-on experience with the Google ADK or Google Cloud Vertex AI platforms Prior experience writing automated tests or using LLM evaluation tools (e.g., Ragas, DeepEval, Phoenix/Arize, or custom evaluation harnesses) Familiarity with vector databases, embeddings, or RAG architectures Active open-source contributions or personal side projects involving AI agents Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $34 - $44/hour Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We 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. EEO Know Your Rights poster #LI-Hybrid We are looking for a passionate and curious Agentic AI Engineer Intern to help build the next generation of autonomous AI workflows and multi-agent systems. In this role, you will work at the frontier of Generative AI, leveraging modern framework stacks like CrewAI, Python, SQL, and the Gemini ADK. You will collaborate closely with senior engineers to design, deploy, and evaluate autonomous agents capable of complex reasoning, tool usage, and task execution. This internship offers deep hands-on experience with LLMs, prompt engineering, agent orchestration, and evaluation frameworks. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics. Responsibility Design, build, and test collaborative AI agent workflows using CrewAI, Gemini ADK and Python Integrate Google’s Gemini ADK (and other modern LLM APIs) to power reasoning, function calling, and structured outputs Connect agents to databases (SQL), APIs, and internal tools to allow real-world execution and retrieval-augmented generation (RAG) Craft, benchmark, and refine system prompts, agent roles, and task descriptions to maximize task success rates and reduce hallucinations Assist in establishing quantitative evals and measurement frameworks to benchmark agent performance, accuracy, latency, and cost efficiency Monitor agent execution traces, debug multi-turn agent conversations, and implement fallbacks for robust behavior Basic Currently pursuing a Bachelor’s, Master’s, in Computer Science, Data Science, AI/ML, or a related technical field Graduating in December 2027 and May/June 2028 Experience with Python and fundamental data structures Experience with SQL and relational database concepts Experience with Large Language Models (LLMs) and core concepts (tokenization, context windows, function calling/tool use) Experience with CrewAI or similar agentic frameworks (e.g., LangChain, Google ADK) This role is not eligible for CPT, OPT or sponsorship now or in the future Preferred Hands-on experience with the Google ADK or Google Cloud Vertex AI platforms Prior experience writing automated tests or using LLM evaluation tools (e.g., Ragas, DeepEval, Phoenix/Arize, or custom evaluation harnesses) Familiarity with vector databases, embeddings, or RAG architectures Active open-source contributions or personal side projects involving AI agents
