Job Description
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Base pay range
CA$150,000.00/yr - CA$400,000.00/yr
About Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.
About the Role: We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the forefront of developing and deploying groundbreaking AI solutions. This involves integrating advanced language/voice/vision models, mastering fine-tuning techniques, building sophisticated workflows and platforms, and pioneering innovative agentic approaches. You will immerse yourself in challenging problems that demand a deep understanding of model behavior, meticulous implementation, and an unwavering commitment to quality and reliability in enterprise environments. A key and exciting aspect of this role is contributing to the architecture and implementation of intelligent systems where AI agents can perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our clients.
Responsibilities
Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software
Benchmark the model, and help write evals for customers to identify model weaknesses
Develop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledge
Implement and optimize techniques for fine-tuning and align large models on domain-specific data
Ensure the quality, reliability, security, and scalability of models and agentic systems through meticulous attention to detail, diligent execution, and continuous monitoring in demanding enterprise settings
Integrate individual AI components into a scalable platform
Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience
Strong contribution record on GitHub. Please include your GitHub link in your application
Experience working with large language or multimodal models and their applications
Experience implementing and working with search systems
Proven ability to pay close attention to detail and prioritize quality, reliability, and security in technical work
Proficiency in programming languages (e.g., Python, Rust, TypeScript or Go) and relevant ML frameworks (e.g., PyTorch, JAX)
Demonstrated ability to design, chain, or orchestrate multiple models (especially LLMs) to create multi-step pipelines or workflows for task automation
Bonus Points
Experience developing or contributing to agentic AI products or systems
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices
Familiarity with distributed training and inference techniques
Experience with system design, API development, and building scalable infrastructure for deploying and managing AI models or agentic systems
Understanding of enterprise software integration patterns and data security considerations
Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC) for voice AI.
Excellent problem solving skills
Ability to work independently and drive projects forward in a fast-paced environment
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Hospitality, Food and Beverage Services, and Retail
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