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 recent 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!

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📌 AI / ML Engineer (Toronto)
🏢 Us Mobile
📍 Toronto