LanceSoft, Inc. ยท 6 hours ago
AI Platform Engineer
Toronto, Ontario, Canada
Contract
Onsite
Mid Level
$60/hr - $70/hr
4+ years expLanceSoft, Inc. is seeking an AI Platform Engineer to contribute to backend services and Azure cloud components. The role involves building critical services such as data ingestion, vector indexing, and retrieval APIs while collaborating closely with an Engineering Lead, AI Engineers, and QA.
Information Technology
Hiring Manager
Anil Yadav
Responsibilities
Build microservices for:
SharePoint delta ingestion (Graph API)
Data normalization and Blob ingestion
Embedding and vector indexing via Azure OpenAI + Cognitive Search
Retrieval and scoring pipelines (hybrid vector + keyword search)
RAG-based inference orchestration
Feedback 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 Vault
Integrate parallel search workflow (existing partial search) with new AI inference pipelines
Build and enhance pipelines using:
Azure Functions
Azure Data Factory
Azure EventHub / ServiceBus
Create schemas and objects for the feedback loop database (Azure SQL)
Ensure proper handling of PII, masking and secure data retention policies
Contribute to IaC deployments (Terraform)
Write Unit / Integration tests
Participate in performance tuning and load testing for inference services
Support CI/CD pipelines using Azure DevOps
Help maintain the C4 diagrams, API contracts, sequence diagrams and operational run books
Qualification
Required
4+ 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 similar
Practical 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 databases
Familiarity 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 practices
Experience needed with Azure OpenAI, LangChain, Vector Storage, Embedding pipelines
Familiarity with RAG Architectures
Preferred
Experience with SharePoint Graph API, Web-hooks etc
Azure
RAG Architectures
Prior experience in ML operations (Azure ML, pipelines etc) is a Plus
Company
LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Ram Karuppusamy
Chairman & CEO
Simon Dealy
Chief Financial Officer
Company data provided by crunchbase