Agentic AI Technical Lead

Position Overview

Key Responsibilities

• Core Platform & Application Development: Lead the development of custom AI platform components, including full-stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine-tuning planes and experiment tracking dashboards).
• Agentic Frameworks: Code and optimize multi-tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google's Agent Development Kit (ADK).
• Strict Architectural Implementation: Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data.
• Next-Generation RAG: Write the data ingestion and retrieval code for advanced RAG architectures, including Knowledge Graph RAG (GraphRAG), LightRAG, and hierarchical summary trees (RAPTOR).
• Vector & Graph Integrations: Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval.
• Prompt & Intent Engineering: Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision.
• SME Collaboration: Act as a Forward Deployed Engineer (FDE), working directly with Subject Matter Experts (SMEs) on business and domain understanding to accurately translate complex enterprise workflows into automated, agent-driven code.
• Seamless Integration: Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user-facing layers and existing enterprise APIs.

Qualifications

• 10+ Years experience
• 5+ years of experience in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Extensive hands-on experience with AWS services and infrastructure related to AI/ML.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or equivalent experience.

Job Family

Salary Range

• Primary Location Full Time Salary Range: CAD 120,800.00 - CAD 170,800.00