HighLevel - Applications Engineering Intern
RemoteInternAPACArtificial IntelligenceSoftwareEngineering InternInternSoftware Engineering InternGoSQLPythonTypeScriptMentoring
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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
Responsibilities
- 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.
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