Solutions Engineering Intern

Envoy

Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location. From manufacturing sites and data centers to pharmaceutical labs, healthcare facilities, and corporate headquarters, Envoy makes safety, security and associated regulatory compliance something our customers can be proud of. The industry is littered with box-checking and arcane manual processes as the standard and we see our role as the company to bring experience, efficiency and simplicity everywhere. Great experiences bring great security – it's a requirement. We hope this problem space excites you and we hope you're ready to come sweat the details with us – we have a lot of customers counting on us! And it certainly won't be easy. Learn more at envoy.com http://envoy.com ABOUT THE ROLE We’re looking for a Solutions Engineering Intern to help build and deploy AI-powered solutions for real business problems at Envoy. This role sits between engineering, data, AI, and business teams. You’ll work directly with stakeholders to understand their problems, identify where AI or automation can help, and build working solutions that people can actually use. This is a hands-on role. You won’t just work from a predefined list of tickets. You’ll be expected to understand the problem, figure out the right technical approach, build it, test it with users, and iterate based on feedback. This is an onsite position that requires at least 5 days a week (Monday - Friday) in our San Francisco HQ office. YOU WILL - Build AI-powered tools and internal applications for teams across Envoy. - Work directly with stakeholders to understand workflows, pain points, and requirements. - Build integrations across APIs, internal systems, data sources, and LLMs. - Prototype solutions quickly and turn successful prototypes into reliable tools. - Work with LLMs, agents, MCPs, APIs, and automation frameworks. - Use SQL and Python to access, transform, and validate data when needed. - Evaluate AI outputs and build guardrails, testing, and validation around them. - Demo your work, gather feedback, and continuously improve what you build. YOU ARE - Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related technical field. - Strong programming fundamentals, especially in Python. - Comfortable working with APIs, databases, and SQL. - Experience building with LLMs or AI tools through projects, coursework, hackathons, or previous internships. - Ability to take an unclear problem and break it down into something you can build. - Comfortable talking directly with both technical and non-technical stakeholders. - Curious, independent, and willing to learn unfamiliar systems quickly. NICE TO HAVE - Experience building AI agents or applications using LLM APIs. - Experience with MCP, tool calling, RAG, or agentic workflows. - Experience with cloud platforms such as AWS. - Experience building internal tools, web applications, or automations. - Experience working with production data systems or analytics infrastructure. HOW SUCCESS LOOKS - By the end of the internship, you should have shipped solutions that are being used by real teams at Envoy. We care less about how much code you write and more about whether you can understand a problem, build the right solution, and create measurable value for the people using it. By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here https://envoy.com/privacypolicy/. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.