AI Engineer Intern
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Key skills for this role
Role Overview
Bridge-it is hiring an AI Engineer Intern to work on generative AI applications and emerging software engineering techniques.
The role focuses on datasets, prompt engineering, retrieval-augmented generation, REST APIs, and agentic AI workflows.
Key Skills for This Role
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Internship overview
Bridge-it is hiring an AI Engineer Intern to work on generative AI applications and emerging software engineering techniques.
The role focuses on datasets, prompt engineering, retrieval-augmented generation, REST APIs, and agentic AI workflows.
Key responsibilities
- Use generative AI models for real-world applications.
- Create datasets and domain-specific knowledge bases.
- Develop prompt engineering and advanced RAG systems.
- Build and optimize scalable Python REST APIs.
- Use LangGraph for complex AI workflows.
- Implement knowledge graphs and agentic frameworks.
- Contribute to Django or FastAPI backend development.
Required skills
- Strong foundation in data science and generative AI concepts and technologies.
- Knowledge of data crawling or scraping, cleaning, and processing.
- Experience with prompt engineering, LangGraph, and Python.
- Knowledge of RAG systems.
- Hands-on experience building and consuming REST APIs.
- Foundation in relational database concepts and SQL queries.
Education
- Current student or recent graduate in Software Engineering, Data Science, or a related discipline.
Nice-to-have skills
- Classic machine learning techniques.
- Agentic AI, context engineering, or agentic memory management.
- Knowledge graphs.
- Django or FastAPI for backend development.
- Search technologies such as Elasticsearch and recommendation systems.
What the intern will gain
- Work on an impactful project with real-world applications.
- Learn and apply generative AI and software engineering techniques.
- Collaborate with innovators and mentors.
- Build a portfolio through practical experience with emerging technologies.
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