AI Engineering Intern — Build Practical AI Systems

Job Description

Turn your AI skills into things people can actually use. Skilvi is looking for an AI Engineering Intern who wants to move beyond tutorials and work on practical AI-powered products, automation workflows, intelligent features, and real engineering problems. You do not need to know everything before applying. We are interested in candidates who can learn quickly, experiment, solve problems, and turn an idea into a working implementation. During the internship, you may work with technologies such as Python, machine learning, generative AI, APIs, LLMs, data processing, automation, and backend systems depending on the project. This is an opportunity to build actual project experience that you can explain, demonstrate, and add to your portfolio. Join our team. Share your details below and our hiring team will reach out with next steps. You will be exposed to: • AI/ML development and experimentation • Generative AI and LLM-based applications • Python-based development • API integration and automation • Data processing and model evaluation • Building and improving AI-enabled features • Git, documentation, testing, and collaborative development Freshers can also apply

Responsibilities

• Build and experiment with AI-powered features and prototypes
• Develop Python-based scripts, services, and automation workflows
• Integrate AI/ML models and third-party APIs into applications
• Prepare, clean, process, and analyze data for AI applications
• Test AI outputs and improve reliability, accuracy, and usability
• Research new AI tools, libraries, and techniques relevant to ongoing projects
• Work with Git and maintain clear technical documentation
• Collaborate with the team to turn ideas and requirements into working solutions
• Freshers can also Apply!

Actual roles and responsibilities may differ from those mentioned above.