Applied AI Engineer Intern

PressW interns are not on a side-project track. From week one you ship the same work as our Applied AI Engineers: production AI applications and Claude-powered workflows for real clients, plus the internal platforms the whole firm runs on. You'll work across the entire stack, from backend services and data layers to frontend interfaces and agent runtimes, with your code reviewed, evaluated, and deployed to paying clients. ## What You'll Do - Build and ship production AI workflows and Claude plugins for client teams, from briefing agents and inbox triage to interactive financial models. - Develop backend services and integrations in Python, connecting AI systems to the platforms clients already run on (CRMs, project management, document systems) with security and safety guardrails. - Build frontend interfaces and full-stack features using TypeScript, React, and Next.js. - Work with databases and analytics systems: designing schemas, building rollups, and exposing typed APIs. - Build and deploy autonomous agents end-to-end on modern agent runtimes, and improve agent reliability through evals and tool-design iteration. - Contribute to open source and internal enablement: security guardrails, reusable skills, docs, and trainings. ## Qualifications - Experience with TypeScript/JavaScript, including asynchronous programming, and modern frameworks like React or Next.js - Experience with Python development; familiarity with backend frameworks like FastAPI is a plus - Proficiency in HTML/CSS and Git version control - A solid understanding of how to build and interact with RESTful APIs, relational databases (PostgreSQL or similar), and other back-end technologies - Familiarity with LLMs, including prompting, tool use, and integrating AI models into applications - Experience using AI assistants to optimize your day-to-day productivity - Excellent debugging skills and the ability to work effectively in large, collaborative codebases - Strong communication and problem-solving skills with a focus on delivering practical, working solutions ## Preferred Skills - Experience building LLM applications such as agents, RAG, or tool-using systems - Familiarity with the Model Context Protocol (MCP) or agent frameworks like the Claude Agent SDK, LangChain, or LangGraph - Familiarity with NextJS and its app directory routing structure Familiarity with CI/CD pipelines and DevOps practices - Experience deploying to a major cloud provider or serverless platform (AWS, GCP, Azure, Vercel) - Familiarity with TailwindCSS and headless-ui frameworks Open-source contributions