AI Engineer

2 weeks ago

Ontario ON, Canada Epsilon Solutions Ltd. Full time

Role: AI EngineerTerm: Long Term ContractLocation: Toronto, ON/Waterloo, ON (Hybrid)Role Overview:We are seeking intermediate Software Engineers who can contribute across services, APIs, and Azure cloud components. Build critical services such as data ingestion, vector indexing, retrieval APIs, inference orchestration, and human validation workflows. Work closely with an Engineering Lead, AI Engineers, and QA as a part of an iterative delivery model. Key Responsibilities:Backend & Cloud ServicesBuild microservices for:SharePoint delta ingestion (Graph API)Data normalization and Blob ingestionEmbedding and vector indexing via Azure OpenAI + Cognitive SearchRetrieval and scoring pipelines (hybrid vector + keyword search)RAG-based inference orchestrationFeedback ingestion services (SQL, EventHub, Service Bus)Implement APIs using Python / NodeJS (project-lead preference will define the final stack)Implement secure access via Azure AD, Managed Identities and Key VaultIntegrate parallel search workflow (existing partial search) with new AI inference pipelines Data Engineering:Build and enhance pipelines using:Azure FunctionsAzure Data FactoryAzure EventHub / ServiceBusCreate schemas and objects for the feedback loop database (Azure SQL)Ensure proper handling of PII, masking and secure data retention policies DevOps & Testing:Contribute to IaC deployments (Terraform)Write Unit / Integration testsParticipate in performance tuning and load testing for inference servicesSupport CI/CD pipelines using Azure DevOps Documentation & ArchitectureHelp maintain the C4 diagrams, API contracts, sequence diagrams, and operational run books Required Skills:Technical:5+ years of experience building backend services (Python preferred, NodeJS / Java / .NET accepted)Hands-on development with Rest APIs, server less functions, microservices, AI based development like LLM, Semantic searches, Vectors, RAG, MCP, Orchestration using Lang smith or similarPractical experience with Azure (Functions, storage, Key Vaults, Cognitive Services, Azure Foundry etc.,)Strong understanding of scalable and distributed systems, async workflows, event-based services etc.,Experience with databasesFamiliarity with search and indexing systems (Cognitive Search, Elastic Search etc.)Good understanding of authentication (OAuth2, Machine to Machine tokens, Azure AD etc.) and secure coding practicesExperience needed with Azure OpenAI, LangChain, Vector Storage, Embedding pipelinesFamiliarity with RAG Architectures Nice to have:Experience with SharePoint Graph API, Web-hooks etc.Prior experience in ML operations (Azure ML, pipelines etc.,) is a Plus

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