[Hiring] AI Agent Engineering Intern @Velocity Clinical Research

Role Description

We are looking for a curious and driven builder to join our rapidly growing team and help us design, prototype, and ship AI agents that automate real-world workflows in clinical research.

Responsibilities

• Design, prototype, and iterate on AI agents that automate business and operational workflows in an accurate and timely manner.
• Integrate LLMs with internal tools, APIs, and data sources to build end-to-end agentic solutions.
• Participate in meetings and provide updates on project status and agent performance. Stay up to date with industry trends and the rapidly evolving AI agent ecosystem.
• Work with SMEs and other experts across areas like NLP, data engineering, and clinical operations to translate domain knowledge into agent capabilities.
• Research and develop end-to-end project prototypes that demonstrate clear automation value for business problems.
• Help define and run evaluations for agent quality, reliability, and safety.
• Should be willing to learn.

Qualifications

• Proficiency in Python and comfort working with APIs (REST, JSON, authentication).
• Working understanding of Large Language Models (LLMs) and prompt engineering - gained through coursework, online learning, personal projects, hackathons, or open-source contributions.
• Familiarity with at least one agent or LLM framework (e.g., LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, the Anthropic /OpenAI SDKs, or the Model Context Protocol).
• Strong problem-solving skills and the ability to break ambiguous business problems into structured, automatable steps.
• Excellent communication skills and ability to work collaboratively with others.
• Experience with vector databases and Retrieval-Augmented Generation (RAG).
• Exposure to tool use/function calling, multi-agent orchestration, or workflow automation tools (e.g., n8n, Zapier), SQL and PowerBI.
• Awareness of evaluation, guardrails, or safety practices for LLM applications are good to have.

Education and Experience

• B Tech / B.E. in Computer Science, Information Technology, or a similar field.
• Candidates from other engineering or science backgrounds with demonstrated hands-on experience building with LLMs or AI agents are also encouraged to apply.