Step into the role of AI Engineer, where you'll lead the design and operationalization of advanced LLM systems in the financial sector. Your skills in AI engineering and comprehensive system reliability will drive impactful innovations.

In this pivotal position, you will conceptualize and develop intelligent agentic frameworks using sophisticated AI methods. Tasks include architecting Model Context Protocol servers, implementing RAG pipelines, and deploying observability solutions tailored for AI metrics. Leadership in mentoring engineers will be crucial for success.

Key Responsibilities:
• Design and implement sophisticated LLM-based workflows for banking
• Build and manage secure Model Context Protocol servers
• Create production-grade RAG and GraphRAG pipelines




• Monitor AI system performance using the ELK observability stack
• Coach junior engineers in effective AI development methodologies

Requirements:
• 8+ years of software engineering experience, 3 years in leadership
• Solid grasp of LLM architectures and prompt engineering techniques
• Experience with cloud-native solutions, particularly in Azure
• Proficiency with the ELK Stack for system monitoring
• Familiarity with regulatory requirements in financial environments

Drive AI advancements that redefine the architectural landscape of financial services while influencing the next generation of engineering talent.
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📌 AI Engineer Position Focusing on LLM and Multi-Agent Systems (Manitoba)
🏢 iVedha
📍 Manitoba