Senior Software Engineer

Résumé du poste

The role involves a blend of software engineering and product management to define, design, and deliver new features for an AI product. Responsibilities include gathering requirements, writing technical specifications, and orchestrating AI agents within a sprint-based environment.

Détails du poste

Pay: 170,000-190,000 Vacancy: New Vacancy (New Role) We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. Required Skills & Experience - 4–6+ years of experience working as a Software Engineer (HR Domain Huge +) - Previous product management experience, with the ability to independently define, design, and engineer product features - 1+ year of experience developing or managing agentic AI workflows, including orchestration pipelines, evaluations, and LLM-based agent models - Experience working with agentic AI or orchestration frameworks such as LangChain, LangGraph, Mastra, or similar technologies - Strong engineering experience with open-source technology stack, including Node.js, TypeScript, React, and PostgreSQL - Experience using Claude Code, Claude Design, or comparable AI-assisted software development tools - Experience working within Microsoft Azure environments - Strong understanding of software development principles and the ability to maintain engineering quality within AI-assisted development workflows - Ability to gather requirements, write product and technical specifications, and translate business needs into actionable engineering solutions - Product-focused mindset with a demonstrated passion for building a number of high-quality, impactful features - Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, sprint-based environment Nice to Have Skills & Experience - Previous experience building or enhancing an AI product in a startup or early-stage product environment Job Description Insight Global is looking for a Product Engineer to join a growing HR technology company in a full time permanent position. This role is a net new headcount to support company growth and is a hybrid opportunity requiring the successful candidate to work onsite every Monday in downtown Toronto. The Product Engineer will operate in a blended software engineering and product management capacity, helping define, design, and deliver new features for an AI product that is currently in production. Day-to-day responsibilities include collaborating with the team during daily stand-ups and one-week sprints, gathering and writing product requirements, developing technical specifications, defining new features, and using AI-assisted workflows and agents to support product development. The successful candidate will be comfortable orchestrating multiple AI agents while maintaining strong software development and product-quality principles. Please Note: We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

Ce que vous ferez

The role involves a blend of software engineering and product management to define, design, and deliver new features for an AI product. Responsibilities include gathering requirements, writing technical specifications, and orchestrating AI agents within a sprint-based environment.

Exigences

Candidates need 4-6+ years of software engineering experience, specifically with Node.js, TypeScript, React, and PostgreSQL. Proficiency in agentic AI frameworks like LangChain or LangGraph and experience with Microsoft Azure are required.

Compétences indiquées

• Gestion de produit · Souhaitée
• Microsoft Azure · Souhaitée
• Node.js · Souhaitée
• PostgreSQL · Souhaitée
• React · Souhaitée
• AI-assisted development · Souhaitée
• TypeScript · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Node.js
• TypeScript
• React
• PostgreSQL
• LangChain
• LangGraph
• Mastra
• Agentic AI Workflows
• Microsoft Azure
• Product Management
• LLM-based Agent Models
• Orchestration Pipelines
• Technical Specifications
• Software Engineering
• AI-assisted Development
• HR Domain Knowledge

Domaines d’emploi

• Software
• Technology
• Engineering
• Human Resources
• Consulting