AI Engineering Intern

Athena US Corp; United States; On-site; USD 34,440 - 55,104; Full time

Benefits offered by this job

Mentorship from AI and software engineering experts

Participation in company life and events

Targeted development programs

Job summary

Athena US Corp is looking for an AI Engineer Intern to assist in the development of large language models (LLMs) aimed at improving task delegation workflows. This role involves prototyping AI-driven features that enhance client productivity.

Candidates should have a strong programming background in Python and knowledge of machine learning principles. The internship provides hands-on mentorship and the chance to work on innovative AI projects.

Qualifications

• Currently pursuing (or recently completed) a relevant degree.
• Strong programming abilities in Python.
• Solid understanding of machine learning fundamentals.

Responsibilities

• Assist in developing large language models (LLMs) for task delegation.
• Experiment with model parameters to improve performance.
• Collaborate to prototype AI-driven workflows.

Skills

Programming in Python

Machine Learning (ML)

Natural Language Processing (NLP)

Education

Degree in Computer Science, Statistics, or related

Tools

TensorFlow

PyTorch

Job description

Overview

At Athena, we empower possibility through transformative delegation. Our mission is to build the world’s premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year. The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.

Responsibilities

• Assist in developing and fine‑tuning large language models (LLMs) to better understand and generate instructions for complex tasks.
• Experiment with model parameters and training data to improve performance.
• Build and integrate AI‑driven features that improve task delegation workflows, such as creating intelligent agents that break down client requests into actionable steps for our team.
• Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.
• Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real‑world scenarios.
• Evaluate model outputs for accuracy and usefulness.
• Develop tests and metrics to assess how well the AI‑generated instructions or recommendations are performing in real‑world scenarios.
• Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI‑generated task execution.
• Work cross‑functionally with product and software engineers to implement AI solutions into the Athena platform.
• Communicate technical findings and iterate on solutions based on user feedback.

Qualifications

• Currently pursuing (or recently completed) a degree in Computer Science, Statistics, or a related field, with coursework in machine learning or artificial intelligence.
• Strong programming abilities in Python and familiarity with machine learning libraries such as TensorFlow or PyTorch.
• Comfortable with data structures, algorithms, and writing clean, efficient code.
• Solid understanding of machine learning fundamentals and algorithms (classification, NLP, deep learning).
• Familiarity with concepts of training, fine‑tuning, and evaluating models.
• Knowledge of natural language processing techniques and understanding of how large language models work.
• Experience using or implementing NLP models.
• Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi‑step reasoning, or evaluation of LLM‑based systems.
• Ability to break down complex problems and experiment with creative AI solutions.
• Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications

• Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).
• Experience with MLOps or model deployment (e.g., using cloud AI services, Docker, REST APIs for model serving).
• Familiarity with 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.
• 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.

Benefits

• Mentorship from Athena’s AI and software engineering experts, including code reviews and guidance on challenging AI projects.
• Opportunity to work on pioneering AI‑driven delegation projects that could become core Athena offerings.
• Hands‑on mentorship and targeted development programs designed to accelerate growth.
• Inclusion in company life, including daily stand‑ups and social events, with the same respect and perks as full‑time employees.