Solutions Engineering Intern

EnvoyEnvoySan Francisco, California, United States
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Posted

9/24/2026

Employment

Full time

Range

$40 - $40/hr

Work style

On-site

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AI summary

Core responsibilities

The intern will build and deploy AI-powered tools and internal applications by working directly with stakeholders to identify and solve business problems. Responsibilities include integrating APIs, managing data workflows, and iterating on solutions based on user feedback.

Requirements overview

Candidates must be currently pursuing a degree in Computer Science, Data Science, Engineering, or a related technical field. Strong programming fundamentals in Python and experience with AI tools or LLMs are required.

Key skills

PythonSQLLLMsAI developmentAPI integrationData validationAutomation frameworksPrototypingTechnical communicationProblem solvingDatabase managementAgentic workflowsRAGCloud platforms

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Education requirements

bachelor degree

About Envoy

Industry

Software Development

Employees

464

Type

Privately Held

Size

201-500 employees

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 life sciences labs, healthcare facilities, and corporate headquarters, Envoy unifies visitor management, risk assessment, mailroom management, digital signage software, resource booking, and emergency management into one integrated platform. With deep integrations across access control, identity, compliance screening, and collaboration tools—including LenelS2, Brivo, Genetec, Honeywell, Cisco Meraki, Okta, Microsoft Azure, Microsoft Teams, Slack, ServiceNow, DocuSign, Avigilon Alta, and Descartes Visual Compliance—Envoy helps organizations reduce risk, stay audit-ready, and operate with clarity at scale. Learn more at envoy.com

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Job categories

TechnologySoftwareData & AnalyticsEngineering

Description

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 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. 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.

Requirements

  • •Python
  • •SQL
  • •LLMs
  • •AI development
  • •API integration
  • •Data validation
  • •Automation frameworks
  • •Prototyping
  • •Technical communication
  • •Problem solving
  • •Database management
  • •Agentic workflows
  • •RAG
  • •Cloud platforms

Benefits

  • •Equity
  • •Market-competitive salary

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