SearchLabs

Senior Multi-Agent Developer – AI

SearchLabs

full-time

Posted on:

Location Type: Hybrid

Location: TorontoCanada

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About the role

  • Design and implement scalable AI and data-driven systems, using orchestration frameworks like Semantic Kernel, LangChain, or LangGraph.
  • Build and maintain data pipelines that integrate structured and unstructured sources across Azure Lakehouse, MongoDB, SQL Server, and APIs.
  • Develop multi-agent workflows to coordinate complex AI-driven tasks and ensure system accuracy and efficiency.
  • Integrate LLM APIs (e.g., GPT-4, Claude) and apply RAG principles to deliver reliable, context-aware responses.
  • Collaborate with architects on system design and integration strategies across internal platforms and services.
  • Partner with infrastructure teams on deployment, monitoring, and optimization in Azure environments.
  • Work with Product and UX to define technical requirements and shape user interactions within conversational AI interfaces.
  • Mentor junior developers, document design decisions, and contribute to engineering best practices.
  • Participate in Agile ceremonies and help drive team efficiency and continuous improvement.

Requirements

  • 5+ years of professional software development experience building and deploying scalable applications.
  • 1–2 years of experience developing AI-powered applications using LLMs, RAG architectures, or orchestration frameworks.
  • Proven track record working cross-functionally with product, data, and infrastructure teams.
  • Hands-on experience with frameworks such as Semantic Kernel, LangChain, LangGraph, or AutoGen.
  • Understanding of multi-agent systems and retrieval-augmented generation (RAG).
  • Experience with vector databases (e.g., Azure AI Search, Pinecone, MongoDB Vector Search or similar).
  • Familiarity with Model Context Protocol (MCP) and LLM integrations.
  • Solid understanding of Angular (v18+) or other front end tools i.e React for front-end integration.
  • Experience with Azure Lakehouse, MongoDB, SQL Server, and Entity Framework OR similar tools.
  • Working knowledge of Azure OpenAI, Azure AI Search, Azure Functions / Container Apps, and Service Bus OR similar tools.
  • Familiarity with microservices, Docker, Kubernetes, and asynchronous programming.
  • Excellent communication skills with the ability to explain technical concepts clearly.
  • Strong collaboration and stakeholder engagement skills across disciplines.
  • Proven ability to manage priorities, meet deadlines, and deliver quality solutions independently.
Benefits
  • Competitive Salary
  • Bonus
  • Benefits
  • RSP
  • some awesome perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI developmentdata pipeline developmentmulti-agent systemsretrieval-augmented generation (RAG)front-end developmentscalable application deploymentorchestration frameworksvector databasesasynchronous programmingmicroservices
Soft skills
communication skillscollaborationstakeholder engagementmentoringprioritizationdeadline managementindependent problem solvingteam efficiency improvementtechnical documentationcross-functional teamwork