AI/ML Engineer

Summary

Join US Mobile, a rapidly growing company revolutionizing connectivity, as an AI/ML Engineer. You will develop, optimize, and scale machine learning models to power the next generation of user experiences. Working closely with product, engineering, and design teams, you will ensure that our ML tools meet user needs, whether they are discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. This role involves designing and deploying conversational and multi-agent LLM solutions, exploring different input/output formats, evaluating models based on their intended use case, and building data pipelines to feed your models real-time data. You will also be responsible for optimizing and scaling the chat system to handle thousands of concurrent interactions, monitoring performance, and iteratively improving the system. Furthermore, you will stay current on the rapidly evolving AI/ML landscape and propose new ways to extend AI across the platform.

Requirements

• Core AI/ML Expertise
• 3+ years hands-on experience building and deploying machine learning solutions at scale
• Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API
• Backend & Data Infrastructure
• Proficient in Python or a similar language for data pipelines and model development
• Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices
• Research & Problem-Solving Mindset
• Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches
• Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints
• Collaboration & Communication
• Comfortable presenting complex ML concepts to non-technical stakeholders
• Passion for iterative development—able to pivot based on user feedback and product metrics

Responsibilities

• Design & Deploy Conversational / Multi-Agent LLM Solutions
• Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented
• Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues
• Multi-Modal & Multi-Model Integration
• Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions
• Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency
• Platform & Pipeline Building
• Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data
• Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc
• Optimization & Scale
• Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability
• Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve
• Ongoing Innovation & Experimentation
• Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval
• Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc

Preferred Qualifications

• Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins)
• Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem
• Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP)

Benefits

• Competitive salary 150k CAD - 240k CAD (based on experience)
• Flexible working hours
• Supplemental health insurance
• Professional development stipend
• 500 wfh tech set-up reimbursement