AI Intern, Applied & Agentic AI
Core
Build reliable, production-ready AI agents, agentic workflows, and RAG systems for enterprise clients in regulated industries.
Role type
AI Intern (Co-op Student)
Builds
AI agents, agentic workflows, RAG pipelines, and LLM-powered applications
Domain
Data consulting, Generative AI, Agentic AI
Deliverable
production ML models | product features
Required skills
Python, software development, debugging, testing, version control, full-stack development, API integration, problem-solving
Preferred skills
React, Node.js, FastAPI, LLM application development, prompt engineering, AI agents, orchestration frameworks, Model Context Protocol, RAG architectures, vector databases, AI evaluation, cloud platforms, Docker
Technologies
Python, OpenAI, Anthropic, MCP, LangChain, LangGraph, Langfuse, AWS, Azure, GCP, Docker
Responsibilities
Design and build AI agents and agentic workflows; Develop RAG pipelines with citations; Integrate commercial and open-source LLMs; Define benchmarks and measure system performance; Build solutions with observability and human oversight; Develop integrations with APIs and cloud services; Troubleshoot workflow accuracy and latency; Apply software engineering practices; Experiment with emerging AI tools; Collaborate to scale prototypes.
Seniority
Intern