Company Overview: Join an innovative startup revolutionizing healthcare training through cutting-edge XR (Extended Reality) environments. We specialize in developing immersive training solutions that incorporate AI-powered feedback to enhance the learning experience.

Position Overview: We are seeking an AI/LLM (Large Language Model) enthusiast with a strong background in NLP, and familiarity with Retrieval-Augmented Generation (RAG) systems, vector databases, cloud services, and custom model training and fine-tuning.

An ideal candidate will get to work with cutting-edge technologies in a fast-paced startup environment while experiencing firsthand exposure to an entrepreneurial journey. At the end of the journey, the ideal candidate will gather a deep understanding of system architecture and business requirements, with experience in developing and deploying AI solutions in healthcare or similar domains.

Technical Qualifications:

Proficiency in Natural Language Processing (NLP) techniques and familiarity with frameworks such as spaCy, NLTK, and Transformers
Solid understanding of Retrieval-Augmented Generation (RAG) systems, vector databases, machine learning principles, and AI model development with PyTorch or TensorFlow
Experience working with cloud services such as AWS, Azure, or Google Cloud Platform (GCP)
Familiarity with system architecture, networking, porting, and version control systems
Strong programming skills in languages such as Python, JavaScript, or similar.

Non-technical Qualifications

Excellent problem-solving skills and the ability to work in a fast-paced startup environment.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
No covert contracts

Technical Responsibilities

Develop, train, fine-tune and deploy AI models for speech-to-text and text-to-semantic analysis to enable real-time feedback based on pre-defined performance metrics
Design and build RAG systems to enhance the retrieval of relevant information and support context aware conversations
Utilize vector databases to efficiently manage and query large datasets of training conversations and evaluation/feedback datasets
Optimize model performance and scalability to meet stringent latency and throughput requirements
Deploy and manage cloud services to ensure scalable and reliable AI infrastructure

Entrepreneurial Responsibilities

Conduct research and stay up-to-date with the latest advancements in NLP, LLM, RAG systems, and related technologies.
Engage with stakeholders and translate business goals to technical milestones, aligning business requirements with product requirements.
Work alongside the founders to develop model-routing technology and bring it into production, shaping the direction of the product.
Collaborate with cross-functional teams, including software engineers, product managers, XR developers, healthcare professionals, and business stakeholders, to integrate AI solutions into existing systems and workflows using a design thinking approach.
Document and present research findings and technical reports to internal and external stakeholders.

How to Apply:

Interested candidates are invited to send their resume, cover letter, and portfolio showcasing relevant projects to contact@craftxr.io. Please include "AI/LLM Internship Application" in the subject line.

We are unable to hire:

International students
Recent graduates

Intern Eligibility Criteria:

Enrolled full or part-time in a Canadian college or university
Studying any discipline, with any diploma or degree level
Will be enrolled (completing the program requirements) for at least the first 30 days of this internship
Holds Canadian citizenship, Permanent Residency, or refugee status
Interested in entrepreneurship and/or seeking alternatives to ‘traditional’ job placements

What We Offer:

Salary: 18$+ per hour (part-time, 20 hours per week)
Duration: 4 months (Sept 2024 - Dec 2024) - option to extend in winter 2025
Flexible working hours and remote work opportunities
A collaborative and innovative work environment
Opportunities for professional growth and development
The chance to make a significant impact on the future of healthcare training

Note: The opportunity is reliant on funding confirmation from VentureForCanada for the Fall 2024 cohort.

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AI/LLM Intern (Fall 2024)