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Senior Software Engineer

Insight Global
Toronto, CAN
Full-time
Mid-Senior
Hybrid
Discovered 5 days ago
Software engineeringProduct managementAgentic AI workflowsAI agent orchestrationLLM-based agent modelsLangChain, LangGraph, or Mastra
Free

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Key skills for this role

Software engineeringProduct managementAgentic AI workflows
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Pay

  • The posting states pay of 170,000 to 190,000, but does not specify the compensation period or currency.

Role Overview

A Product Engineer is sought for a full-time permanent position at a growing HR technology company.

The role combines software engineering and product management to define, design, and deliver features for a production AI product.

Workplace

  • This is a hybrid opportunity requiring the successful candidate to work onsite every Monday in downtown Toronto.

Job Responsibilities

  • Gather and write product requirements, develop technical specifications, define features, and translate business needs into engineering solutions.
  • Develop and manage agentic AI workflows, orchestration pipelines, evaluations, and LLM-based agent models.
  • Use AI-assisted workflows and orchestrate multiple AI agents while maintaining strong software and product-quality principles.
  • Collaborate with the team through daily stand-ups and one-week sprints.

Required Skills and Experience

  • At least 4–6 years of software engineering experience and previous product management experience.
  • At least 1 year developing or managing agentic AI workflows, including orchestration pipelines, evaluations, and LLM-based agent models.
  • Experience with LangChain, LangGraph, Mastra, or similar orchestration frameworks.
  • Strong experience with Node.js, TypeScript, React, PostgreSQL, and Microsoft Azure.
  • Experience with Claude Code, Claude Design, or comparable AI-assisted development tools.
  • Ability to maintain engineering quality, gather requirements, write specifications, and collaborate in a fast-paced sprint environment.

Preferred Experience

  • Previous experience building or enhancing an AI product in a startup or early-stage product environment is preferred.

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