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 - Market-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!

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