OverviewUS 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)- Versatile working hours- Supplemental health insurance- Professional development stipend- 500 CAD in WFH tech set‑up reimbursementThink you could be a fit? Apply to learn more!#J-18808-Ljbffr

📌 Ai / Ml Engineer - C$130,000 - C$220,000 A Year (Toronto)
🏢 Us Mobile
📍 Toronto