As an LLM Developer for our AI Chat Assistant, you'll be instrumental in merging cutting-edge AI with our advanced messaging platform. This role focuses on crafting a versatile AI assistant that not only enhances communication but also acts as a personal organizer. From scheduling meetings via API to managing to-do lists, your work will make our app an indispensable tool for our users.
Location: HarbourFront
Working Hours: Mon - Thurs 8 AM - 6 PM; Fri 8 AM - 5:30 PM
Salary will be commensurate with skills and capabilities
Key Responsibilities
Backend Development: Implement Large Language Models (LLM) to power a General AI Chat Assistant within our app, focusing on features like API-driven calendar scheduling and dynamic to- do list management.
API Integration: Ensure seamless integration of external services (calendars, task managers) via APIs, enabling the chat assistant to perform a wide range of organizational tasks.
Personalization and Adaptation: Develop mechanisms for the AI assistant to learn from user interactions, providing tailored suggestions and reminders.
Data Management: Work with data engineers to ensure the assistant has access to accurate and timely information, enhancing its response quality and relevance.
User Experience: Continually refine the AI assistant's conversational interface and functionality to improve engagement and utility.
Model Optimization: Train, fine-tune, and maintain machine learning models to ensure the chat assistant's effectiveness and efficiency in understanding and executing user requests.
Performance Monitoring: Regularly evaluate the assistant's performance, identifying and addressing any issues to maintain high service standards.
Cross-functional Collaboration: Work closely with a diverse team to align the assistant's development with overall product goals and user feedback.
Innovation: Stay abreast of the latest in LLM, AI technologies, and organizational tools, integrating them to keep our assistant at the forefront of innovation.
Qualifications
With 5 years of related experience
Bachelor's or Master's degree in Computer Science, AI, or related fields.
Experience in developing NLP applications, particularly in creating AI-driven chatbots or assistants.
Proficiency in Python, API integrations, and SQL.
Familiarity with LLM frameworks and techniques for enhancing AI conversational abilities.
Solid understanding of machine learning, deep learning, and NLP principles.
Strong analytical and problem-solving skills, with a flair for creativity and innovation in a fast- paced environment.
Excellent communication abilities to explain complex technical concepts clearly.
A meticulous approach to development and a passion for delivering exceptional user experiences.
Experience with Knowledge Graphs, DevOps, and cloud services (e.g., AWS) is advantageous.
Join us to build an AI assistant that not only simplifies communication but acts as a central hub for personal organization and productivity.
Kindly note that only shortlisted candidates will be notified.
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