01 Aug
|
Saransh
|
Toronto
5 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Role - GenAIWorking Location: Toronto, Hybrid - 3 days a weekLong TermJdRole 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: Seems FSD skillsBackend & Cloud Services - Build Microservices ForSharePoint 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 pipelinesData Engineering: Seems Data Engineer skillsBuild And Enhance Pipelines UsingAzure 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 policiesDevOps & Testing:
Seems DevOps skillsContribute to IaC deployments (Terraform)Write Unit / Integration testsParticipate in performance tuning and load testing for inference servicesSupport CI/CD pipelines using Azure DevOpsDocumentation & ArchitectureHelp maintain the C4 diagrams, API contracts, sequence diagrams, and operational run booksRequired Skills: Technical: Seems more FSD skills4+ 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 Langsmith or similarPractical experience with Azure (Functions, storage, Key Vaults, Cognitive Services, Azure Foundry etc.,)Robust 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 ArchitecturesNice To HaveExperience with SharePoint Graph API, Web-hooks etc.Prior experience in ML operations (Azure ML, pipelines etc.,) is a PlusSeniority levelMid‑Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Saransh Inc by 2xGet notified about current Artificial Intelligence Engineer jobs inToronto, Ontario, Canada .Toronto, Ontario, Canada CA$115,000.00-CA$149,000.00 3 weeks agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr
📌 Gen Ai Engineer - C$115,000 - C$149,000 A Year (Toronto)
🏢 Saransh
📍 Toronto