AI Engineer Intern at Athena

Setup: Remote
Type: Internship
Level: Entry-level

Description

The AI Engineer Intern at Athena will focus on developing and enhancing Large Language Models (LLMs) to optimize task delegation workflows, instruction generation, and automated agentic processes. The intern will collaborate with senior AI engineers to prototype and deploy cutting-edge AI features, contributing to improved client productivity and efficiency.

Required Skills

Python
TensorFlow
PyTorch
machine learning
artificial intelligence
natural language processing

Additional Information

Minimum Education: degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.
Preferred Qualifications: Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).
Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).
Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.
Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.
Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.
Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.