Applications Engineering Intern

About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users  with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About the Role: You are a curious, motivated learner who is excited to work closely with our business teams and ensure our app is robust, scalable and has cutting edge features. You’re eager to learn, ask questions, and grow through hands-on exposure under guidance from senior engineers.  You enjoy breaking down problems, experimenting with new tools, and understanding how real-world systems work. You’re comfortable taking feedback, iterating quickly, and contributing thoughtfully to a fast-paced engineering environment. This is paid Internship Responsibilities: (All responsibilities will be performed under close guidance and review from senior engineers or tech leads.) - Assist in designing and testing AI workflows (e.g., LangGraph-based flows) by helping document requirements, validate routing logic, and configure tools under supervision. - Support the creation of small, reusable workflow components, such as basic nodes, validations, or structured outputs, following predefined patterns for retries and fallbacks. - Help test and validate tool execution, ensuring outputs are safe, predictable, and meet defined acceptance criteria before use in downstream processes. - Collaborate with Business Analysts and mentors to understand business goals and translate ideas into well-scoped, clearly defined tasks. - Assist in maintaining internal agent-accessible services or APIs, including helping with data retrieval (e.g., Snowflake queries), configuration updates, and data enrichment tasks. - Support evaluation and monitoring efforts for AI workflows by contributing to test cases, regression checks, and reviewing basic metrics such as latency, cost, and errors. - Contribute to improvements in the transcription application by helping with data ingestion, basic data cleanup, validation, storage checks, and retrieval testing. - Learn and apply reliability concepts (queues, workers, retries, idempotency) by assisting in testing and documenting how these mechanisms improve pipeline stability. - Support rubric-based call scoring initiatives by helping validate outputs, review scoring logic, and ensure data is correctly published for coaching and operational use. - Assist with exploratory work on streaming data, focusing on understanding data flow between capture, transcription, and scoring rather than owning implementation. - Deliver small, clearly scoped tasks with regular check-ins, apply feedback quickly, and document learnings and outcomes. Requirements: - Super Eager to Learn (You're a Learner First!):You don't have to be a total guru yet, but you must be super curious and genuinely excited to learn and level up your skills. We're totally here to mentor you! - Proactive & Driven (Be a Go-Getter):We love interns who just jump in, take the ball, and run with it. Don't wait around for constant hand-holding! We need forward-thinkers ready to tackle things on their own. - Dedicated & Engaged (Be Present & All In):We need you to be available, focused, and ready to contribute your energy and time as a key player on our fast-paced, innovative team. - Fast-Paced & Flexible (Quick on Your Feet):The tech world changes fast, and so do we. You need to be able to pick up new tools, tech, and ways of working, like, quickly. - Coding Fundamentals (Got the Programming Chops): You should be comfortable with Python and/or TypeScript, especially with designing APIs/services. Solid SQL is a must, and you should be cool with warehouse-backed apps. Bonus points if you've played around with LLM applications, including: - Getting tools/functions to work and making sure the outputs are structured and validated. - Retrieval patterns (like RAG), routing, and keeping track of context. - Prompt management, versioning, and figuring out how well they work (evaluation). - AI Ecosystem Familiarity (You Know Your AI Stuff): Some exposure to tools like LangGraph, Botpress, or other agent builders is great (building agents and packaging up tools). Understanding streaming systems (WebSockets/HTTP2), including dealing with things like backpressure and reconnects, is also a plus. Basic audio knowledge (FFmpeg basics, codecs) and familiarity with transcription services would be super helpful. What you'll gain: - Internship Certificate: Upon successful completion of the internship, you will receive an official internship certificate from GoHighLevel, validating your contribution and learnings. - Potential Full-Time Opportunity: Exceptional performers may be considered for a full-time role based on performance and business needs. - Real-World Experience: Hands-on experience with software development projects, and collaboration with various teams. - Mentorship & Development: Guidance from experienced colleagues &  developers  to accelerate your learning and professional growth. - Career Growth: Become a Subject Matter Expert (SME) in application development  with opportunities to take on increasing responsibility and ownership over time. - Domain knowledge: Good exposure to SaaS,  sales and marketing domain