Hybrid Senior Multi-Agent Developer – AI

at SearchLabs

• Job title: Senior Multi-Agent Developer – AI
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, Azure, Docker, Entity Framework, Kubernetes, Microservices, MongoDB, React, SQL
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior Multi-Agent Developer (AI) working in a hybrid environment to build production-ready AI tools. Collaborating with architects and UX teams to create a robust multi-agent AI system.

Responsibilities

• 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