Sr. Software Engineer - Agentic AI Systems

Cognichip


Date: 5 hours ago
City: Toronto, ON
Salary: CA$150,000 - CA$200,000 per year
Contract type: Full time
Job Title

Sr. Software Engineer - Agentic AI Systems

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
  • Evaluation and Optimization
  • Cloud & Infrastructure
  • Programming & Development

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.

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