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 ResponsibilitiesDesign & Deploy Conversational / Multi‑Agent LLM SolutionsCraft 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 IntegrationExplore different input/output formats (e.G., text, voice, image) to enrich user interactions.Evaluate models based on technical capabilities and cost efficiency.Platform & Pipeline BuildingDesign 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 & ScaleEnsure 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 & ExperimentationStay 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.QualificationsCore AI/ML Expertise3+ 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 InfrastructureProficient 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 MindsetUp‑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 & CommunicationComfortable presenting complex ML concepts to non‑technical stakeholders.Passion for iterative development—able to pivot based on user feedback and product metrics.BenefitsCompetitive salary 130k‑220k CAD (based on experience/location)Adaptable working hoursSupplemental health insuranceProfessional development stipend500 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 (Winnipeg)
🏢 Us Mobile
📍 Winnipeg