Publié le mois dernier
Forward Deployed AI Engineer
@ Qureos Inc
Toronto, Ontario
En bref
Qureos Inc is hiring a Forward Deployed AI Engineer in Toronto for a full-time, hybrid role paying $180,000 to $260,000 plus equity. The engineer works directly with portfolio companies to build and deploy production LLM and agentic AI solutions, requiring 3 to 6 years of engineering experience and regular domestic travel.
Responsabilités :
- Work with portfolio companies to understand workflows and pain points
- Build and deploy end-to-end AI and agent workflows to production
- Monitor and improve reliability, performance and autonomy of AI systems
- Document reusable technical patterns and lessons learned
- Travel 2 to 3 days per week to portfolio company locations
Résumé des exigences :
- 3 to 6 years of full-stack or customer-facing engineering experience
- Production LLM or agentic application experience
- Strong TypeScript or Python, React and SQL skills
- Familiarity with evaluations and monitoring of AI systems
- Experience working with operators or business stakeholders
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · teamtailor
- Date publiée par l’employeur
- 2026-09-24
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-11-01
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : minimes · route : modérés |
| Milieu de travail | Bureau, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Qureos Inc
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The AI recruiting platform that finds talent beyond your reach.
Description complète de l’entreprise
Qureos is an AI-powered talent acquisition platform and managed services provider that helps companies find the people they couldn't reach on their own and hire them faster. Our recruiting agents handle the heavy lifting: surfacing hard-to-find candidates through automated multi-channel sourcing, running custom phone and video screening, and managing end-to-end recruitment operations. That saves talent acquisition teams hundreds of hours of manual effort and frees them to focus on what only humans can do — building relationships, making judgment calls, and delivering an incredible candidate experience. The result: companies hire better talent in less time, at lower cost, with leaner teams. HR teams can run the software themselves or fully outsource hiring to Qureos on an outcome-based model. Qureos powers hiring for leading businesses across the GCC, including Qatar Airways, Baan Holdings, Yousef Al-Rajhi Group, Alzayani Investments, Union Properties, and Saudi Development and Export Services Co. Ltd (SDRS).
- Abonnés LinkedIn
- 72 905
- Personnes associées sur LinkedIn
- 89
- Bureaux déclarés
- Dubai, AE
- Catégories d’activité
- Agentic AI
- Communities
- E-Learning
- EdTech
- Education
- Marketing
- Recruiting
- Social Recruiting
- Autres noms enregistrés
- Qureos Inc
- Qureos
- Spécialités
- AI Recruitment
- Talent Acquisition
- Recruitment Software
- and Candidate Screening
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 8 155 186
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Qureos is an AI-powered talent acquisition platform and managed services provider that helps companies find the people they couldn't reach on their own and hire them faster. Our recruiting agents handle the heavy lifting: surfacing hard-to-find candidates through automated multi-channel sourcing, running custom phone and video screening, and managing end-to-end recruitment operations. That saves talent acquisition…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Dubai |
| Type d’organisation | Privately Held |
| Fondée en | 2021 |
| Spécialités | AI RecruitmentTalent AcquisitionRecruitment Softwareand Candidate Screening |
| Offres sur Jobsy | 1 |
| Voir la page |
Full-time | Hybrid | Toronto | $180K–$260K
About the Role
We’re looking for a AI Deployment Engineer with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and agentic solutions that create measurable impact. This is a highly hands-on engineering role. You’ll work directly with business operators and technical teams, taking projects from identifying the right opportunity through development, deployment, optimization, and handoff. You’ll have the opportunity to build systems that are actively used in real-world operations rather than working solely on prototypes or internal tooling.
What You’ll Do
Work directly with portfolio companies to understand their workflows, pain points, and business priorities.
Identify high-impact opportunities where AI and agentic workflows can 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 their reliability, performance, and level of autonomy.
Partner closely with general managers and other non-technical stakeholders to translate business needs into practical technical solutions.
Take ownership of deployments from initial discovery through production rollout and stabilization.
Document successful approaches, technical patterns, and lessons learned so they can be reused across other businesses.
Travel regularly to portfolio company locations and work closely with teams on-site.
What We’re Looking For
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, rather than experimental demos alone.
Familiarity with evaluations, monitoring, autonomy controls, and measuring outcomes for AI-powered systems.
Experience working directly with customers, operators, or business stakeholders.
Ability to independently take a project from understanding the problem through implementation and production deployment.
Strong business judgment and the ability to understand operational workflows and translate them into technical solutions.
Comfortable communicating with both highly technical and non-technical stakeholders.
Location & Work ModelToronto
Hybrid role with a minimum of 3 days per week in-office; 4 days preferred.
Approximately 2–3 days per week of domestic travel to portfolio company locations.
Compensation$180,000–$260,000
Competitive equity package
Technology
TypeScript
Python
React
SQL
LLMs / Foundation Models
Agentic Workflows
Evals
Snowflake
Databricks
Apache Iceberg
Event-driven Systems
About the Company
They are a technology-focused software holding company that acquires, builds, and grows vertical-market software businesses for the long term. The company partners with founders who have built strong businesses by deeply understanding their customers and industries. Rather than pursuing short-term exits, the organization takes a long-term approach, investing in the continued growth, technology, and operations of the businesses it acquires. The company has raised $250M in Series B funding from a group of institutional investors, technology entrepreneurs, and long-term investment partners.
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