Asks for

The ad says“• AI agents and MCP servers for task automation and reasoning”
The ad says“• Build APIs and microservices to integrate AI capabilities into enterprise applications.”
The ad says“• Azure AI Foundry for managing LLM lifecycle and deployment”
The ad says“• RAG pipelines using Azure AI Search and vector databases”
The ad says“• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).”
The ad says“• Azure OpenAI Service (GPT models, embeddings, fine-tuning)”
The ad says“• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).”
The ad says“• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).”
The ad says“• Azure OpenAI Service (GPT models, embeddings, fine-tuning)”
The ad says“• Azure OpenAI Service (GPT models, embeddings, fine-tuning)”
The ad says“• Azure OpenAI Service (GPT models, embeddings, fine-tuning)”
The ad says“• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).”
The ad says“• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows”
The ad says“• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows”
The ad says“• AI agents and MCP servers for task automation and reasoning”
The ad says“• Build APIs and microservices to integrate AI capabilities into enterprise applications.”
The ad says“• Implement prompt engineering strategies and optimize LLM interactions.”
The ad says“• Proficiency in Python and experience with cloud-native development.”
The ad says“• RAG pipelines using Azure AI Search and vector databases”
The ad says“• RAG pipelines using Azure AI Search and vector databases”

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Key Responsibilities

We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.

Skills, Knowledge and Expertise

• Develop and deploy Generative AI applications using:
• Azure OpenAI Service (GPT models, embeddings, fine-tuning)
• Azure AI Foundry for managing LLM lifecycle and deployment
• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
• RAG pipelines using Azure AI Search and vector databases
• AI agents and MCP servers for task automation and reasoning
• Implement prompt engineering strategies and optimize LLM interactions.
• Build APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with architects and client teams to understand requirements and deliver solutions.
• Ensure code quality, performance, and security in cloud-native environments.
• Stay up to date with the latest in generative AI frameworks, tools, and best practices.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in software development, with a focus on AI/ML applications.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
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What We Offer:

• Opportunity to build impactful generative AI solutions for enterprise clients.
• Access to exclusive Microsoft partner resources and training.
• A collaborative, innovative, and growth-oriented work environment.
• Competitive compensation and benefits.
• Career development in a rapidly evolving AI landscape.

Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

Ontario Salary Range

$110,000—$160,000 CAD