Current jobs related to Agentic AI Engineer - Toronto, Ontario - Cognichip

  • Agentic AI Platform Engineer

    1 week ago

    Toronto, Ontario, Canada KData AI Full time $120,000 - $180,000 per year

    Job Title: Agentic AI Platform EngineerClient: Banking ClientLocation:Downtown Toronto (On-site 4 days/week)Position Type:6-Month Contract (Renewable)Domain: Generative AI, Agentic Systems, AI Platform EngineeringRate: up to $90Role SummaryA leading Banking Client is building a next-generationAgentic AI Platformto enable scalable, enterprise-wide deployment...

  • Ai Agent Engineer

    1 week ago

    Toronto, Ontario, Canada BMO Full time $103,000 - $192,000 per year

    AI Agent EngineerLocation:Toronto, ONReports to:AI Engineering and Delivery LeadWorks with:Solution Architects, Data Engineers, Product Managers, Business Stakeholders, and cross-functional AI Execution SquadsRole OverviewThe AI Agent Engineer is responsible for designing, developing, deploying, and optimizing autonomous AI agents that enhance advisor...

  • Agentic AI Engineer

    2 weeks ago

    Toronto, Ontario, Canada BULLIT SYSTEMS Full time $120,000 - $180,000 per year

    Responsibilities• Architect and lead development of scalable, production-grade agentic AI systems.• Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.• Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.• Integrate agents...

  • Ai Agent Engineer

    1 week ago

    Toronto, Ontario, Canada BMO Full time $103,200 - $192,000

    Application Deadline:10/26/2025Address:100 King Street West Job Family Group:Data Analytics & ReportingAI Agent EngineerLocation: Toronto, ONReports to: AI Engineering and Delivery LeadWorks with: Solution Architects, Data Engineers, Product Managers, Business Stakeholders, and cross-functional AI Execution Squads Role OverviewThe AI Agent Engineer is...

  • AI agent Infrastructure Engineers

    1 week ago

    Toronto, Ontario, Canada MERCOR Full time $150,000 - $200,000 per year

    Mercor is hiring AI Agent Infrastructure Engineers on behalf of a leading AI Lab developing scalable systems to power the next generation of intelligent, autonomous agents. This is a unique opportunity to work with world-class AI researchers and engineers, building the infrastructure that enables advanced reasoning, multi-agent coordination, and real-world...

  • Senior Agentic AI Engineer

    1 week ago

    Toronto, Ontario, Canada Behavox Full time US$180,000 - US$200,000 per year

    About Behavox Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value,...

  • Senior Agentic AI Engineer

    1 week ago

    Toronto, Ontario, Canada Behavox Full time $120,000 - $180,000 per year

    About BehavoxBehavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our...

  • AI Engineer – Agentic Platform

    1 week ago

    Toronto, Ontario, Canada Epiq Full time $120,000 - $180,000 per year

    It's fun to work at a company where people truly believe in what they are doingJob Description:Epiq is at the forefront of AI innovation in the legal tech industry. We are looking for a skilled AI Engineer to be a core member of our team as we build a first-of-its-kind agentic platform. This platform will revolutionize how we serve our global customers in...

  • AI Agent Deployment Engineering Manager

    3 days ago

    Toronto, Ontario, Canada MAGICAL Full time $120,000 - $250,000 per year

    AI Agent Deployment Engineering ManagerReports to: Head of Deployment / ProductMagical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers, especially in healthcare, use Magical to automate high-stakes, high-complexity processes.The shift to agentic work is...

  • AI Agent Deployment Engineering Manager

    5 days ago

    Toronto, Ontario, Canada Magical Full time $180,000 - $300,000 per year

    AI Agent Deployment Engineering ManagerTeam size scaling: 8 today → ~25 by end of 2026Reports to: Head of Deployment / ProductMagical's agentic AI platform brings AI Agents into the workplace to take over repetitive, soul-crushing workflows that slow teams down. Our customers—especially in healthcare—use Magical to automate high-stakes, high-complexity...

Agentic AI Engineer

2 weeks ago

Toronto, Ontario, Canada Cognichip Full time $150,000 - $250,000 per year

About the Role

We are seeking an AI Engineer to design, implement, and deploy advanced agentic AI systems. In this role, you'll build production-ready AI agents that can reason across multiple steps, leverage a mixture of proprietary models, integrate with semiconductor design tools, and operate autonomously over a long period of time.

You'll work with state of the art frameworks to create pipelines that combine LLM-based reasoning, knowledge grounding, and multi-agent orchestration. This is a high-impact role where you'll partner with research and engineering teams to translate cutting-edge chip design workflows into reliable, scalable agentic solutions for real-world use cases.

Key Responsibilities

●
Build Agentic Systems
– Implement multi-step reasoning agents with advanced memory, Retrieval-Augmented Generation (RAG), and integrations to tools, databases, and APIs.

●
Evaluate and Optimize Agent Performance
– Define and implement evaluation pipelines for agentic systems, including success/failure classification, grounding accuracy, reasoning robustness, tool-use reliability, and long-horizon task completion. Use metrics and benchmarks to continuously improve performance in production environments.

●
Orchestrate & Optimize
– Design supervisor/sub-agent patterns, enable coordination across agents, and apply best practices for robustness, performance, and scalability.

●
Deploy & Evolve
– Deliver production-grade agentic AI workflows on cloud platforms (AWS preferred), monitor and evaluate agent performance, and continuously fine-tune for quality and efficiency.

●
Collaborate & Translate
– Work with product managers, researchers, and engineers to transform complex chip design workflows into agent-driven, end-to-end solutions.

Desired Skillset

● Agentic AI Systems

  1. Hands-on experience with multi-agent orchestration and supervisor patterns.
  2. Familiarity with LangChain, LangGraph, LangSmith, or similar frameworks.
  3. Knowledge of RAG pipelines, memory management, and evaluation of agent performance.

● Evaluation and Optimization

  1. Familiarity with agent evaluation frameworks (e.g., LangSmith evals, benchmark datasets, unit tests for agent workflows).
  2. Experience designing custom evaluation metrics for reasoning steps, tool use correctness, and RAG pipeline performance.
  3. Ability to balance automatic evaluation (synthetic benchmarks, self-play) with human-in-the-loop evaluation for complex workflows.

● Cloud & Infrastructure

  1. Strong software engineering foundation with experience in cloud environments (AWS preferred).
  2. Knowledge of containerized deployment and backend integration.

● Programming & Development

  1. Proficiency in Python; experience with backend systems and API integration.
  2. Familiarity with modern software engineering practices (GitHub, CI/CD pipelines, testing frameworks).

Required Qualifications

● Bachelor's or Master's degree in Computer Science, Software Engineering or a related field.

● 5-10 years of experience in software development in cloud environment

● 2+ years of experience with hands-on experience building and deploying production-grade agentic AI systems with real-world applications.

● Solid working knowledge of Retrieval-Augmented Generation (RAG), agent performance evaluation, and hands-on experience with LangGraph and LangSmith platforms.

● Proficiency in Python and familiarity with backend cloud services (preferably AWS).

Preferred Qualifications

● Contributions to open-source AI projects or frameworks.

● Experience with multi-agent orchestration patterns at scale.

● Knowledge of reinforcement learning, planning algorithms, or autonomous reasoning.

● Track record of deploying agentic AI systems in production at scale

What We Offer

● The chance to work on state-of-the-art AI systems that push the boundaries of autonomy and reasoning.

● A collaborative environment where engineering meets research.

● Competitive compensation and equity in a fast-growing AI startup.

● A culture that values ownership, curiosity, and technical excellence.