Praxis is an AI engineering and systems consulting practice focused on building practical, outcome-driven AI solutions for real businesses. We work at the intersection of engineering, operations, and decision-making — turning complex problems into deployable systems.
As an AI Engineering Intern, you’ll work directly with experienced practitioners on live client work. This isn’t a classroom or a simulated program. You’ll contribute to real architectures, workflows, and implementations — learning how AI systems are designed, evaluated, and shipped in production environments.
You’ll gain hands-on exposure to:
- AI-driven workflow design and automation
- Engineering trade-offs, constraints, and system thinking
- Translating business problems into technical solutions
- Building, testing, and refining AI-enabled systems
Praxis is a small, focused team. That means high ownership, fast learning, and direct feedback. You’ll be expected to think clearly, ask good questions, and take responsibility for your work — with strong support from people who care about doing things properly.
If you’re technically curious, disciplined, and serious about building real skills in AI engineering — not just theory — Praxis offers a place to learn by doing.
Tasks
- Assist in the development and maintenance of web applications to enhance the company's online presence and service offerings.
- Collaborate with the engineering team to design, develop, and test software solutions that align with the company's core values and business goals.
- Participate in code reviews and contribute to the improvement of coding practices by providing constructive feedback and suggestions.
- Research and implement new technologies or tools that can improve the efficiency and functionality of existing systems.
- Support the debugging and resolution of software defects, ensuring a high level of product quality and reliability.
Requirements
- Part time - 15-20 hours per week
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- No expereicne reuqired
- Must have degree in computer engineering/science
- Strong problem-solving skills and the ability to work collaboratively within a small team environment.
- Excellent communication skills and a commitment to fostering an inclusive and accountable workplace.
- Eagerness to learn and contribute to projects with boldness and creativity.