Forward Deployed AI Engineer

Qureos
Toronto
Workplace: HybridFull timeUSD 180,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 3-6 yearsSkills: ["Hands-on engineering","Business judgment","Cross-functional communication","Ownership","Problem-solving"]

Work closely with portfolio businesses to identify high-impact use cases for AI and agentic workflows, then build and deploy end-to-end, production-grade solutions. You’ll integrate backend systems, design agent workflows and prompts, set up evaluations and autonomy controls, and improve reliability and performance post-launch. Partner with business and technical stakeholders, travel to client sites, and document reusable technical patterns from discovery through rollout.

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FursaFursa
Qureos
Qureos
1 day ago

Forward Deployed AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Work closely with portfolio businesses to identify high-impact use cases for AI and agentic workflows, then build and deploy end-to-end, production-grade solutions. You’ll integrate backend systems, design agent workflows and prompts, set up evaluations and autonomy controls, and improve reliability and performance post-launch. Partner with business and technical stakeholders, travel to client sites, and document reusable technical patterns from discovery through rollout.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Work directly with portfolio companies to understand workflows, pain points, and business priorities.
  • •Identify high-impact opportunities for AI and agentic workflows to improve efficiency or outcomes.
  • •Build and deploy end-to-end solutions, including backend integrations, agent workflows, prompts, evaluations, and user-facing interfaces.
  • •Monitor production systems and continuously improve reliability, performance, and autonomy.
  • •Take ownership of deployments from discovery through production rollout and stabilization, including documentation and knowledge sharing.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Key Requirements

  • •3–6 years of experience in full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.
  • •Strong full-stack development skills, including TypeScript or Python, React, and SQL.
  • •Experience building and deploying production LLM or agentic applications (not just experimental demos).
  • •Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI-powered systems.
  • •Ability to independently take a project from understanding the problem through production deployment.
Experience:3-6 years
Skills:Hands-on engineeringBusiness judgmentCross-functional communicationOwnershipProblem-solving
Tech Stack:TypeScriptPythonReactSQLLLMs / Foundation ModelsAgentic WorkflowsEvalsSnowflakeDatabricksApache IcebergEvent-driven Systems

Company Brief

Qureos
Provides an AI-powered hiring and recruitment platform that helps employers source, screen, and match candidates faster. The product is designed to streamline talent acquisition and reduce time spent on repetitive recruiting tasks.
Industry: HR Tech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Dubai, United Arab Emirates
Founded: 2019
WebsiteLinkedIn