Forward Deployed AI Engineer

Qureos
Toronto
Workplace: HybridFull timeUSD 180,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 3-6 yearsSkills: ["Business judgment","Independent ownership","Stakeholder communication","Cross-functional collaboration","Translating operational workflows into technical solutions"]

Build and deploy production-grade AI and agentic solutions with portfolio businesses. Work end-to-end—from identifying high-impact opportunities to implementing backend integrations, agent workflows, prompts, evaluations, and user-facing interfaces. Monitor and improve reliability, performance, and autonomy in production, while partnering with business operators and technical teams to translate real operational needs into technical outcomes. Spend time on-site and travel regularly to portfolio company locations for stabilization and handoff.

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FursaFursa
Qureos
Qureos
1 day ago

Forward Deployed AI Engineer

✓ Verified Job

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

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

Job Summary

Build and deploy production-grade AI and agentic solutions with portfolio businesses. Work end-to-end—from identifying high-impact opportunities to implementing backend integrations, agent workflows, prompts, evaluations, and user-facing interfaces. Monitor and improve reliability, performance, and autonomy in production, while partnering with business operators and technical teams to translate real operational needs into technical outcomes. Spend time on-site and travel regularly to portfolio company locations for stabilization and handoff.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work directly with portfolio companies to understand workflows, pain points, and business priorities.
  • •Identify high-impact AI and agentic opportunities 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 through discovery, production rollout, stabilization, and handoff; document patterns and lessons learned.
Travel: Extensive travel

Pay and Benefits

Salary: USD 180,000 - 260,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •3–6 years of experience in full-stack engineering, customer-facing software engineering, solutions engineering, or forward-deployed engineering.
  • •Strong full-stack skills with TypeScript or Python, React, and SQL.
  • •Experience building and deploying production LLM or agentic applications, not just demos.
  • •Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI systems.
  • •Ability to independently take a project from problem understanding through implementation and production deployment.
Experience:3-6 yearsFull-stackCustomer-facing software engineeringSolutions engineeringForward-deployed engineeringLLMsAgentic applications
Skills:Business judgmentIndependent ownershipStakeholder communicationCross-functional collaborationTranslating operational workflows into technical solutions
Tech Stack:TypeScriptPythonReactSQLLLMsFoundation 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