Intern — Integration Developer

About the Role Keystone AI is looking for a technically curious intern to join as an Integration Developer. You'll work on real projects from day one — connecting enterprise systems, building API integrations, and getting hands-on with AI-powered automation alongside experienced engineers. What You'll Do Integration Development Build and maintain integrations between internal systems (CRM, ITSM, ERP) using REST and GraphQL APIs Develop data pipelines to move, transform, and sync data across platforms Work with iPaaS tools such as Make, Zapier, Boomi, or MuleSoft Debug integration failures and data issues across distributed systems Write clean, documented code in Python and/or JavaScript AI-Powered Automation Connect LLM APIs (Claude, OpenAI) into internal workflows and business applications Build MCP connectors to enable AI agents to interact with enterprise systems Help design and test multi-agent workflows using LangChain, AutoGen, or CrewAI Prototype AI-native patterns: document parsing, ticket classification, semantic search, and RAG pipelines Monitor AI pipelines for accuracy and unexpected behavior; iterate based on results Quality, Security & Documentation Write tests to validate integration and pipeline behavior Participate in code reviews — both giving and receiving structured feedback via GitHub pull requests Apply basic security practices: secret management, input validation, OAuth2 scopes, and least-privilege API access Identify and flag common integration security risks such as exposed credentials, insecure endpoints, and excessive data exposure Document API contracts, data mappings, and configurations Maintain runbooks and contribute to the internal knowledge base What We're Looking For Technical Python and/or JavaScript/Node.js fundamentals Working knowledge of REST APIs, JSON, OAuth2 Git and GitHub — branching, commits, pull requests, merge conflict resolution Basic SQL skills Familiarity with cloud platforms or Docker is a plus AI Literacy Comfortable using AI coding assistants (Copilot, Cursor, Claude) Basic understanding of LLMs: context windows, tool calling, prompt design Awareness of responsible AI use: hallucination risks, data privacy, output validation Security Awareness Understanding of common API security risks Basic knowledge of authentication and authorization patterns: OAuth2, API keys, JWT Awareness of data handling responsibilities: PII, access control, and audit logging Tools & Process Jira for task tracking, sprint planning, and issue management GitHub for version control, pull requests, and collaborative code review Comfortable working in an Agile team environment Soft Skills Strong analytical and problem-solving mindset Clear written and verbal communication in English Detail-oriented, collaborative, and self-directed Comfortable with ambiguity and fast-moving environments What does Keystone AI offer you? - Work with an established Silicon Valley leader in the cloud infrastructure industry; - Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies; - Be a part of cutting-edge, open-source innovation; - Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued; - Professional development and training; - Attend conferences and working groups; - Company outings, happy hours, hackathons, and tech talks; - Receive a competitive compensation package with a strong benefits plan. It is understood that Keystone AI , Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)! About Keystone AI Keystone AI is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Keystone AI empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Keystone AI delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and