AI Engineering Intern
Core
Develop and enhance Large Language Models (LLMs) and AI agentic systems to automate task delegation workflows and improve instruction generation for client productivity.
Role type
AI Engineering Intern
Builds
AI-driven delegation features, intelligent agents, and agentic workflows for the Athena platform.
Domain
Artificial Intelligence / Machine Learning / Natural Language Processing
Deliverable
production ML models | product features
Required skills
Python programming, machine learning fundamentals, NLP techniques, LLM fine-tuning, data structures and algorithms, model evaluation metrics
Preferred skills
ML ops, model deployment, reinforcement learning, prompt engineering, multi-agent systems, data preprocessing pipelines, agent evaluation frameworks
Technologies
Python, TensorFlow, PyTorch, Docker, REST APIs
Responsibilities
Develop and fine-tune LLMs for task instruction generation; Build and integrate AI-driven features for task delegation workflows; Prototype systems for AI agentic workflows; Develop AI agentic components for task planning and tool use; Evaluate model outputs and develop tests/metrics; Build lightweight evaluation harnesses for agent behavior; Collaborate with product and software engineers to implement AI solutions.
Seniority
Intern
