AI / ML Engineer

Overview

US Mobile is a venture‑backed company on a mission to revolutionize connectivity with a software platform for 5G and IoT. We are expanding rapidly and seek an AI/ML Engineer to develop and scale machine learning models that power user experiences across devices.

Key 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, voice, image) to enrich user interactions.
  • Evaluate models based on technical capabilities and cost efficiency.
• Platform & Pipeline Building
  • Design data pipelines that feed models with real‑time or near real‑time data.
  • Implement best practices around model lifecycle management—versioning, containerisation, deployment orchestration, etc.
• Optimization & Scale
  • Ensure the chat system can handle thousands, eventually millions, of concurrent interactions with low latency and high availability.
  • Monitor performance, define metrics (latency, user success rate, fallback rate) and iteratively improve.
• Ongoing Innovation & Experimentation
  • Stay current on AI/ML advancements, especially generative models, multi‑agent orchestration and knowledge retrieval.
  • Propose new ways to extend AI across the platform—advanced personalization, proactive customer engagements, etc.

Qualifications

• Core AI/ML Expertise
  • 3+ years of hands‑on experience building and deploying machine learning solutions at scale.
  • Solid understanding of NLP techniques, including transformer models and embeddings, and experience with Hugging Face, AWS Bedrock, and OpenAI’s API.
  • Experience with vector search solutions (e.g., Pinecone, Weaviate, Elasticsearch with vector plugins).
  • Experience building or deploying large language models in the AWS Bedrock ecosystem.
  • Familiarity with multi‑agent LLM frameworks or orchestrations.
• Backend & Data Infrastructure
  • Proficient in Python or a similar language for data pipelines and model development.
  • Experience with cloud platforms (AWS preferred), containerisation (Docker, Kubernetes) and microservices.
• Research & Problem‑Solving Mindset
  • Up‑to‑date on AI/ML trends—especially 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.

Benefits

• Competitive salary 130k‑220k CAD (based on experience/location)
• Flexible working hours
• Supplemental health insurance
• Professional development stipend
• 500 CAD in WFH tech set‑up reimbursement

Think you could be a fit? Apply to learn more!