Hybrid AI Engineer Intern: Autonomous Agents & LLMs

DocuSign, Inc.; San Francisco (CA); Hybrid; USD 47.000 - 61.000; Vollzeit

Zusammenfassung

Docusign is offering a 3-month AI Engineer Intern role focused on building autonomous AI workflows and multi-agent systems. You'll work with modern stacks like CrewAI, Python, SQL, and Gemini ADK, collaborating with senior engineers to design, deploy, and evaluate agents capable of complex reasoning and task execution.

The internship provides hands-on experience with LLMs, prompt engineering, agent orchestration, and evaluation frameworks, reporting to the Sr. Manager, Data & Analytics.

Qualifikationen

• Pursuing CS/DS/AI/ML degree with expected graduation Dec 2027 or May/Jun 2028.
• Experience with Python and data structures.
• Experience with SQL and relational databases.
• Experience with LLMs and core concepts.
• Experience with CrewAI or LangChain/Google ADK.
• Not eligible for CPT/OPT or sponsorship now or in future.

Aufgaben

• Design, build, test collaborative AI agent workflows using CrewAI, Gemini ADK and Python.
• Integrate Google Gemini ADK and other LLM APIs for reasoning and function calling.
• Connect agents to databases (SQL), APIs, and internal tools for RAG and real-world execution.
• Craft, benchmark, and refine system prompts, agent roles, and task descriptions.
• Assist in establishing evals and measurement frameworks for agent performance.

Kenntnisse

Python

SQL

LLMs

CrewAI

LangChain

Google ADK

Ausbildung

Bachelor’s or Master’s in CS/DS/AI/ML

Graduating 12/2027 or 05/2028

Tools

Gemini ADK

Python stack

Jobbeschreibung

Docusign is offering a 3-month AI Engineer Intern role focused on building autonomous AI workflows and multi-agent systems. You'll work with modern stacks like CrewAI, Python, SQL, and Gemini ADK, collaborating with senior engineers to design, deploy, and evaluate agents capable of complex reasoning and task execution.

The internship provides hands-on experience with LLMs, prompt engineering, agent orchestration, and evaluation frameworks, reporting to the Sr. Manager, Data & Analytics.