Highlights
Hands-on experience building real-world AI systems, collaborate with top engineering teams.
Description
Job Summary
pJoin Wiingy as a Gen AI Engineer Intern and contribute to building real-world AI systems, including task-based chatbots and Retrieval-Augmented Generation (RAG) pipelines. Collaborate with our engineering and product teams to design scalable solutions that enhance the learning experience for students globally.
Responsibilities
- Build RAG systems using LangChain and Qdrant.
- Develop task-based chatbots and support query resolver bots.
- Design document ingestion, embedding pipelines, and query retrieval workflows.
Required Skills
- Python
- RAG Systems
- Prompt Engineering
- MySQL
- Data Integration
Required Skills Explained
- Python: Proficiency in Python is essential as it will be the primary programming language used for developing AI systems.
- LangChain: Familiarity with LangChain or similar frameworks to build generative AI applications, particularly RAG systems.
- RAG (Retrieval-Augmented Generation): Understanding of how to implement and optimize RAG pipelines using tools like LangChain and Qdrant.
- Qdrant: Knowledge of vector databases such as Qdrant for embedding and querying large datasets efficiently.
- Prompt Engineering: Basics of designing effective prompts that enhance the performance of AI models in various applications.
- LLaMA: Familiarity with LLaMA or other open-source language models to build conversational AI systems.
- MySQL: Basic understanding of MySQL for data management and integration into backend systems.
- REST APIs: Knowledge of RESTful API design and implementation, crucial for integrating various components of the system.
Who is this for
pFor tech enthusiasts with a passion for AI and problem-solving, eager to work on cutting-edge projects. Ideal for those who thrive in a collaborative environment and want to contribute to the education technology space.
Why This Job is a Good Opportunity
ulliHands-on experience with cutting-edge AI technologies in real-world applications.liOpportunity to work on projects that directly impact user experience and educational outcomes.liCollaboration with a diverse team of engineers, product managers, and educators.liPotential for full-time conversion based on performance, providing long-term career growth opportunities.liIn-person work in Bangalore’s thriving tech ecosystem, offering networking and learning opportunities.
Interview Preparation Tips
- Review Python syntax, data structures, and advanced concepts relevant to AI development.
- Familiarize yourself with RAG architectures and how they differ from traditional AI systems.
- Browse documentation and examples of LangChain and Qdrant for practical understanding.
- Study prompt engineering techniques and best practices for optimizing LLM responses.
- Prepare to discuss past projects or experiences related to chatbot development or AI tool creation.
Career Growth in This Role
pAs a Gen AI Engineer Intern at Wiingy, you will have the opportunity to gain extensive hands-on experience with advanced AI technologies and methodologies. The role provides a platform for continuous learning and innovation, allowing you to develop skills that are highly sought after in the tech industry. With performance-based full-time conversion opportunities, you can transition into a long-term career path focused on AI development within an educational technology company. Additionally, working at Wiingy exposes you to a dynamic environment where you can contribute to impactful projects and build a strong professional network.
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Skills
Frequently Asked Questions
What are the key responsibilities of a Gen AI Engineer Intern?You will build Retrieval-Augmented Generation (RAG) systems, develop task-based chatbots, and design document ingestion workflows.
Is this role suitable for those with experience in open-source LLMs like LLaMA?Yes, prior exposure to open-source language models such as LLaMA is preferred but not mandatory.
What kind of support will I receive during my internship?You will collaborate closely with our engineering and product teams, receiving mentorship and support throughout your project.
