AI Engineering Intern

Summary

Athena is a company focused on building a premier delegation platform using advanced AI technologies. The AI Engineering Intern will develop and enhance Large Language Models to improve task delegation workflows and contribute to building AI systems that automate processes, impacting client productivity and efficiency.

Responsibilities

• Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You’ll experiment with model parameters and training data to improve performance
• Build and integrate AI-driven features that improve task delegation workflows – for example, 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

Skills

• Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence
• Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, 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. Understanding how large language models work and 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
• 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

Qualifications

Must Haves

• Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence
• Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, 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. Understanding how large language models work and 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

Nice to Haves

• 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

Benefits

• You will be mentored by Athena’s AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.
• Expect to engage with cutting-edge AI technology. You’ll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.
• Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life — from daily stand-ups to social outings — receiving the same respect and perks as full-timers.
• This internship will enhance your practical AI skills and professional network. You’ll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.