AI Engineer Internship
Job Summary
As an early-career AI Engineer, you will help build and scale models and tooling that become part of our product. You will take prototypes to production, improve performance, and help shape how our AI features work in the wild. This internship provides hands-on experience in developing, testing, and maintaining AI-powered applications.
Responsibilities
- Develop, test, and maintain AI applications
- Research AI technologies and machine learning models
- Integrate AI models and APIs into software
- Collect and preprocess data for AI development
Required Skills
- Pursuing degree in CS, AI, or related field
- Basic knowledge of Python or other languages
- Strong problem-solving and analytical skills
- Willingness to learn Generative AI and LLMs
Job Details
Responsibilities:
- Assist in developing, testing, and maintaining AI-powered applications and software solutions.
- Support the team in researching AI technologies, machine learning models, and emerging AI trends.
- Assist in integrating AI models, APIs, and tools into existing software applications.
- Participate in developing and testing AI features, prototypes, and proof-of-concept projects.
- Assist in data collection, preprocessing, analysis, and preparation for AI model development.
- Explore and experiment with Generative AI, Large Language Models (LLMs), and AI automation tools.
- Assist in debugging, troubleshooting, and improving the performance of AI applications.
- Collaborate with software engineers and other team members to develop and enhance AI solutions.
- Document technical processes, experiments, and development progress.
- Perform other AI engineering and software development tasks as assigned.
Requirements:
- Currently pursuing a Diploma or Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
- Interested in AI, machine learning, software development, and emerging technologies.
- Basic knowledge of Python or another programming language.
- Willing to learn about machine learning, Generative AI, LLMs, and AI application development.
- Strong problem-solving, analytical, and logical thinking skills.
- Curious, proactive, and willing to experiment with new technologies.
- Able to work independently and collaboratively in a team.
- Familiarity with AI frameworks, APIs, Git, or cloud platforms is an advantage.