As a Lead AI Engineer, you will lead the design and implementation of multi-agent AI architectures, working closely with customers, software engineers, data scientists, and domain experts to deliver scalable, production-grade AI solutions.
You will be responsible for technical design, architecture decisions, coding standards, and the successful implementation of complex AI systems.Key ResponsibilitiesLead the design, development, and implementation of enterprise-scale multi-agent AI architectures.Translate complex business requirements into scalable AI solutions.Develop modular, maintainable, and high-quality code following software engineering best practices.Define and communicate architecture decisions and technical design considerations.Collaborate with cross-functional teams including customers, engineers, data scientists, and business stakeholders.Document solution architecture, algorithms, workflows, and implementation details.Design AI systems with a focus on performance, scalability, security, cost optimization, and accuracy.Must-Have SkillsStrong hands-on programming expertise in Python.Experience with PyTorch and/or TensorFlow.Strong knowledge and hands-on experience with Google Cloud Platform (GCP).
Experience building applications using Vertex AI, including:Agent BuilderSearchConversational AgentsStrong expertise in Generative AI, Machine Learning, Deep Learning,



and Agentic AI patterns.Experience designing and implementing multi-agent systems.Hands-on experience with:LangChainLangGraphLangSmithRagasExperience building advanced Retrieval Augmented Generation (RAG) solutions, including Graph-based RAG.Expertise in implementing AI guardrails, responsible AI controls, and hallucination mitigation strategies.Experience in AI testing, evaluation frameworks (EvalOps), and solution optimization.Experience designing AI solutions for enterprise-scale deployment with performance, cost, and accuracy considerations.Preferred Technical ExperienceVertex AI ExtensionsFastAPIPydanticSpanner Graph / GQLChain-of-Thought (CoT) EngineeringAgentic ObservabilitySemantic Entity MappingAPI development and integrationsNice to HaveGradio or StreamlitDialogflow CX or Gemini Enterprise CXGitHub, CI/CD, DevOpsCloud Run, GKEPub/SubSoftware Engineering & ArchitectureClean Architecture and SOLID principlesOAuth2/OIDC, IAM, IAPAsynchronous programming and distributed workflowsApplication security and data privacy controlsExperience with another programming language such as Java, Go, C#, or TypeScript in addition to PythonLTM is proud to be an equal opportunity employer.
We are committed to equal employment chance regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.Watch the video: watch?
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📌 Lead Ai Engineer (Victoria)
🏢 LTM
📍 Victoria