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AI Agentic Systems & Automation Engineer

  • Markham, ON
  • On-site
  • Posted Oct 10, 2026
  • 1 position

$100,000–$140,000 / year

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Apply by
Apr 7, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Entry level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Design, build, and deploy secure, scalable agentic AI systems and automated workflows for engineering, operations, project delivery, and business processes. Integrate enterprise systems and knowledge sources, and implement testing, evaluation, monitoring, cost and reliability optimization, and human-in-the-loop safeguards.

Job details

Company: GenCore Utilities Ltd. Location: Markham, ON (In-Office) Employment Type: Full-Time About GenCore Utilities Ltd. At GenCore Utilities Ltd., we power communities through innovative, sustainable, and technically advanced solutions across the telecommunications, utility, and energy sectors. Our design and engineering teams are at the forefront of network modernization, delivering projects that connect people and infrastructure efficiently and responsibly. The objective of this position is to help GenCore build a secure and scalable AI ecosystem that improves productivity, automates complex workflows, strengthens knowledge management, and introduces advanced AI capabilities across the company's engineering and business operations. Position Summary GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business processes. The ideal candidate will have strong experience in agentic AI, Claude Code, AI system design, Python/TypeScript, RAG, APIs, automation, and enterprise AI architecture. This role will focus on turning complex business and engineering problems into secure, scalable, and practical AI solutions. Key Responsibilities Design and build multi-agent and agentic AI workflows using tools such as Claude Code, Anthropic Agent SDK, LangGraph, AutoGen, Google ADK, or similar frameworks. Develop AI systems using RAG, vector databases, semantic search, memory, and knowledge management. Build secure integrations with internal APIs, databases, Microsoft 365, SharePoint, cloud platforms, and other enterprise systems. Develop and maintain MCP servers, tool-calling workflows, structured outputs, and reusable AI components. Use Claude Code for software development, debugging, documentation, testing, and AI-assisted engineering workflows. Design AI solutions that support engineering documentation, QA/QC, project management, proposals, research, data analysis, and business development. Optimize AI systems for accuracy, latency, token usage, cost, and reliability. Implement AI testing, evaluation, monitoring, audit trails, and human-in-the-loop safeguards. Develop production-quality solutions using Python and/or TypeScript. Work with engineering, operations, IT, business development, and leadership teams to identify and implement AI opportunities. Qualifications Bachelor's degree in Computer Science, Software Engineering, AI, Machine Learning, Data Science, Computer Engineering, or a related technical field. 3+ years of software engineering, AI/ML, automation, or related development experience. Strong knowledge of Claude Code and AI-assisted software development. Highly knowledgeable in AI design, AI architecture, LLM orchestration, and agentic AI systems. Strong proficiency in Python and/or TypeScript. Experience with LLMs, prompt engineering, RAG, vector databases, APIs, and structured outputs. Experience designing production-grade AI systems and integrations. Knowledge of Git, CI/CD, Docker, cloud platforms, APIs, and modern software engineering practices. Strong problem-solving and communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications Experience with Anthropic, Claude Code, LangGraph, AutoGen, Google ADK, or MCP. Experience with Azure AI Foundry, AWS, or similar cloud AI platforms. Knowledge of LangSmith, Langfuse, RAGAS, DeepEval, or similar AI evaluation tools. Experience with Microsoft 365, SharePoint, engineering systems, or enterprise automation. Experience within utilities, telecommunications, engineering, infrastructure, or regulated industries. Salary Range Annual base salary: CAD $100,000–$140,000, commensurate with qualifications and experience. Benefits and any bonus are additional. What We Offer · Opportunity to work on major utility and infrastructure projects across Canada. · Exposure to multidisciplinary engineering and utility design projects. · Competitive compensation and comprehensive benefits package. · Professional development and career advancement opportunities. · Collaborative and innovative engineering environment. Vacancy status: This posting is for an existing vacancy. Use of artificial intelligence: GenCore Utilities Ltd. does not use artificial intelligence to screen, assess, or select applicants for this position.

What you’ll do

Design, build, and deploy secure, scalable agentic AI systems and automated workflows for engineering, operations, project delivery, and business processes. Integrate enterprise systems and knowledge sources, and implement testing, evaluation, monitoring, cost and reliability optimization, and human-in-the-loop safeguards.

Requirements

Requires a bachelor's degree in a relevant technical field, at least three years of software engineering, AI/ML, automation, or related development experience, and strong proficiency in Python and/or TypeScript. Candidates should have expertise in Claude Code, AI architecture and agentic systems, LLMs, RAG, vector databases, APIs, and production-grade integrations, along with knowledge of modern software engineering practices.

Benefits

  • Comprehensive Benefits Package
  • Professional Development
  • Career Advancement Opportunities

Listed skills

  • CI/CD · Preferred
  • Microsoft 365 · Preferred
  • Docker · Preferred
  • SharePoint · Preferred
  • TypeScript · Preferred
  • prompt engineering · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Agentic AI
  • Claude Code
  • AI System Design
  • Python
  • TypeScript
  • Retrieval-Augmented Generation
  • Vector Databases
  • API Integration
  • LLM Orchestration
  • Prompt Engineering
  • Automation
  • Microsoft 365
  • SharePoint
  • Docker
  • CI/CD
  • AI Evaluation

Job areas

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Energy

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