Software Engineeer Internship

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 youll work directly with experienced practitioners on live client work. This isnt a classroom or a simulated program. Youll contribute to real architectures workflows and implementations learning how AI systems are designed evaluated and shipped in production environments.

Youll 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. Youll 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 youre 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 companys online presence and service offerings.
• Collaborate with the engineering team to design develop and test software solutions that align with the companys 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 Bachelors or Masters 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.