AI Agent Engineer Intern

AI Agent Engineer Intern (Microsoft Copilot Studio & Claude) 

About DEEP Measures 

DEEP Measures accelerates the utilization of digital measures of health by helping pharma companies, technology developers, and academic institutions collaborate on the creation and validation of sensor-based digital endpoints. Our structured content model ensures that novel measures can be designed to be patient-focused and fit-for-purpose from the ground up, with appropriate definitions and evidence in place for regulatory qualification and utilization in clinical trials. 
 

The role: 

The AI Agent Engineer Intern will support the design, implementation, and iteration of AI agents and agentic tools that help internal teams automate workflows and access information safely and efficiently. This internship is hands-on and focused on building agents using Microsoft Copilot Studio and integrating large language models (including Claude) into real business processes. The intern will collaborate closely with DEEP Leadership, Growth, Product, and Operations team members to prototype, test, and deploy AI-agent use cases with strong attention to security, privacy, and responsible AI practices. 

Key responsibilities: 

• Build and configure AI agents in Microsoft Copilot Studio and Claude (topics, actions, orchestrations, and conversation flows) to support internal use cases. 

• Integrate agents with enterprise tools and data sources (e.g., SharePoint/OneDrive, Teams, email, and internal systems) using connectors and APIs. 

• Evaluate agent and quality, safety, and reliability (e.g., task success rate, response quality, grounding/traceability, and failure modes) and iterate based on findings. 

• Document agent requirements, prompts, conversation designs, tool integrations, and operating procedures to support transparency and maintainability. 

• Support internal teams in adopting AI agents and tools  by gathering requirements, running demos, and creating quick-start guides. 

• Learn and follow internal guidelines related to responsible AI, security, data governance, privacy, and confidentiality. 

• Assist with tracking tasks, test results, and deliverables to support timely agent prototyping and deployment. 

• Participate in team meetings, communicate progress, and present demos and learnings to internal stakeholders. 

• Take on additional tasks as assigned to support AI agent delivery and continuous improvement. 

• Must be able to come into our Cambridge office in Kendall Square on average two to three times per week. 

Required qualifications:  

Currently pursuing or recently graduated with a Bachelor’s or Master’s degree in computer science, information systems, software engineering, human-computer interaction, or a related field. 

We’d like it if you:  

• Have hands-on experience building chatbots, copilots, or workflow automations (Copilot Studio experience is a strong plus). 

• Are comfortable working with LLMs via APIs (e.g., Claude) and can write clear prompts and system instructions; familiarity with Azure AI Foundry is a plus. 

• • Are a self-starter who can also collaborate effectively with a remote, cross-functional team. 

• Have strong attention to detail and a curiosity for learning new techniques and domains. 

• Can work and adapt in a fast-moving start-up environment. 

• Have an interest in responsible AI and building agents for real users in regulated or enterprise settings. 

Why you will love working with us:   

At DEEP Measures, we are transforming the healthcare ecosystem by making digital technologies a fundamental part of life sciences. As part of our fast-growing start-up, you will work alongside senior professionals who challenge and inspire you while providing opportunities to be exposed to all aspects of building a digital health company.  

DEEP Measures is an equal opportunity employer:    

We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or disability status.