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Docusign

Runs electronic signing and agreement workflows

Agentic AI Engineer Intern

AI Application EngineeringUpdated on Nov 13
InternshipSan Francisco, CA, USA$34 - $44 /hr

About the Job

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field.
  • Graduating in December 2027 or May/June 2028.
  • Experience with Python and fundamental data structures.
  • Experience with SQL and relational database concepts.
  • Experience with large language models and core concepts, including tokenization, context windows, function calling, and tool use.
  • Experience with CrewAI or similar agentic frameworks, such as LangChain or Google ADK.
  • Applicants must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship; the role is not eligible for CPT or OPT.

Responsibilities

  • Design, build, and test collaborative AI agent workflows using CrewAI, Gemini ADK, and Python.
  • Integrate Google's Gemini ADK and other modern large language model APIs to power reasoning, function calling, and structured outputs.
  • Connect agents to databases using SQL, APIs, and internal tools to enable real-world execution and retrieval-augmented generation.
  • Craft, benchmark, and refine system prompts, agent roles, and task descriptions to maximize task success rates and reduce hallucinations.
  • Assist in establishing quantitative evaluations 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.

Desired Qualifications

  • Hands-on experience with Google ADK or Google Cloud Vertex AI platforms.
  • Prior experience writing automated tests or using large language model evaluation tools, such as Ragas, DeepEval, Phoenix/Arize, or custom evaluation harnesses.
  • Familiarity with vector databases, embeddings, or retrieval-augmented generation architectures.
  • Active open-source contributions or personal side projects involving AI agents.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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