Full-Stack AI (LLM) Engineer Internship

About AI Planet:

AI Planet is an inclusive ecosystem with a mission to educate and build AI for all. With a thriving community of over 350,000 members, we offer a community-driven learning platform and an AI marketplace. Our learning platform is designed to empower the world with essential data and AI skills, while our AI marketplace is making AI accessible to all by providing secured and reliable APIs to a vast collection of pre-built AI models developed by the best data scientists worldwide. This unique ecosystem is designed to empower companies and individuals to seamlessly learn, develop, and implement AI solutions to solve real-life challenges of humanity.

About the role:

As we expand, we are seeking a talented and versatile Full Stack AI Engineer to join our team and take a leading role in building and deploying Generative AI solutions. This is where you as a full stack AI Engineer will play an integral part in developing end-to-end solutions that leverage GenAI to address complex challenges across various domains and solve some of the meaningful problems out there. This role is ideal for individuals passionate about advancing the field of AI and gaining hands-on experience in a dynamic and collaborative environment.

The intern would be responsible for developing reliable Generative AI applications across different industries.

Key Responsibilities:

• Implement and customize LLMs to build reliable applications based on LLMs. Build reliable and hallucination free GenAI or LLM powered applications
• Manage data ingestion and maintain database integrity which is essential for any reliable LLM powered application
• Design and develop GenAI use cases across financial services, healthcare and education Implement Retrieval-Augmented Generation (RAG) techniques for enhanced LLM responses.
• Ensure best practices of prompt engineering, performance monitoring, evaluation of LLM responses etc
• Work with cross-functional teams for cohesive GenAI solutions.
• Keep abreast of the latest advancements in LLMs and generative AI.

Required Skills and Qualifications:

• Must have strong programming skills, particularly in Python.
• Knowledge of LLM frameworks such as Langchain, Llamaindex.
• Knowledge of Data Engineering Practices: Skills in data preprocessing, cleaning, and transformation etc.
• Should be familiar with RAG (retrieval augmented generation), Agents etc
• Ability to integrate various APIs and web services for data ingestion and model deployment.
• Strong analytical skills to troubleshoot and solve complex problems that arise in AI application development.
• Excellent communication and interpersonal skills.
• Understanding of Generative AI or LLM tools like Langchain/LLamaIndex
• Ability to write clean, well-documented, and efficient code.
• Strong problem-solving skills and the ability to work both independently and as part of a team.

Preferred Skills and Qualifications:

• Previous internship or project experience in LLM Applications. Would be preferred not mandatory
• Experience with version control systems, preferably Git.
• Knowledge of additional programming languages or frameworks is a plus.
• Familiarity with Docker is a plus.
• Understanding of cloud services (e.g., AWS, Azure, Google Cloud) and their application in development is a plus.

Personal Attributes:

• Passionate about technology and keeping up with the latest trends in software development and Generative AI.
• Eager to learn and take on challenging tasks.
• Strong analytical and troubleshooting skills.
• Excellent time management and prioritization skills.
• Ability to work in a fast-paced and dynamic environment.

Benefits:

• Opportunity to work with the founding and leadership team
• Exponential learning and growth
• Full-time opportunity based on performance

Stipend

• Stipend will be between INR 10,000 (part-time) - INR 15,000 (full-time, preferrable) per month. Preferably we're looking for full-time interns in their 4th year final semester.
• Opportunity for a pre-placement offer based on performance.