Publié il y a 5 jours
Agentic AI Specialist
@ Brunel
Toronto, Ontario
En bref
Brunel is hiring an Agentic AI Specialist for a large HR and payroll programme to build, host and enhance LLM-based agents that turn requirements and test-case workbooks into test cases and validated staging data. The role covers agent design, the MCP tool layer, hosting on Azure, retrieval over HR documents, evaluation, and Microsoft 365 integration. It is a full-time position.
Responsabilités :
- Design and implement LLM-based agents and tools
- Extend the MCP server and APIs agents call
- Host agents as a containerised service on Azure
- Build retrieval over HR and pay documents
- Build evaluation sets and regression tests for AI features
Résumé des exigences :
- Five-plus years of Python in production
- Twelve-plus months shipping LLM applications with a major model API
- Experience building multi-step agents with tools and approval gates
- Retrieval (RAG) and evaluation experience
- Backend and Azure hosting experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · careerpage
- Date publiée par l’employeur
- 2026-11-05
- Première détection par notre source
- 2026-11-05
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Brunel
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.
This is who we are: A powerful global network. Brunel – Connecting Specialists to Pioneering Projects.
Description complète de l’entreprise
Founded in 1975, we are a global specialist delivering customised project and workforce solutions to drive sustainable industry transformations through technology and talent. With 120+ offices and a powerful network of more than 12,000 specialists around the world, we deliver Project and Consulting Solutions, Workforce Solutions and Global Mobility Solutions that transform global projects in Renewables, Conventional Energy, Mining, Life Sciences, Future Mobility, Industrials & Technology and many other sectors.
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- Autres noms enregistrés
- Brunel
- Spécialités
- Recruitment
- Staffing
- Traineeships
- Global Company
- Automotive
- Legal
- Finance
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- High-tech
- Project management
- Project and Consulting Solutions
- Workforce Solutions
- Global Mobility Solutions
- Conventional Energy
- Renewables
- Life Sciences
- Mining
- Engineering
- IT
- Future Mobility
- Defense
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- Relocation Services
- Dienstvertrag
- Werkvertrag
- Arbeitnehmerüberlassung
- and Personaldienstleistung
- Le profil indique une agence de recrutement
- Oui
Founded in 1975, we are a global specialist delivering customised project and workforce solutions to drive sustainable industry transformations through technology and talent. With 120+ offices and a powerful network of more than 12,000 specialists around the world, we deliver Project and Consulting Solutions, Workforce Solutions and Global Mobility Solutions that transform global projects in Renewables…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 10,001+ employees |
| Siège social | Amsterdam |
| Type d’organisation | Public Company |
| Fondée en | 1975 |
| Spécialités | RecruitmentStaffingTraineeshipsGlobal CompanyAutomotiveLegalFinanceMarketing & CommunicationHigh-techProject management |
| Offres sur Jobsy | 77 |
| Voir la page |
We are building AI-assisted automation for a large HR and payroll programme: agents and pipelines that turn business requirements and test-case workbooks into test cases, validated staging data and reviewer-ready evidence. The core is already working and in use. We need a hands-on AI engineer to build, host and enhance these agents with us.
* Build agents. Design and implement LLM-based agents and tools: tool and function calling, structured outputs, multi-step workflows, human-in-the-loop approval, prompt and context design.
* Build the tool layer. Extend our MCP (Model Context Protocol) server and APIs that agents call to read requirements, agreements, process maps, reference test cases and product documentation.* Host and operate. Take agents from a local, single-user setup to a hosted service: containerised backend, identity and access control, audit logging, secrets management, deployment on Azure.
* Retrieval and knowledge. Build retrieval over HR and pay documents (collective agreements, process catalogues, test libraries): chunking, embeddings, hybrid search, re-ranking, with measured retrieval quality.* Evaluate. Build labelled evaluation sets and regression tests for every AI feature; report accuracy, precision and recall; keep deterministic logic deterministic where a rule beats a prompt.
* Integrate. Connect outputs to Azure DevOps test management, and build Microsoft 365 agents (Copilot Studio, Agent Builder, Power Automate, Teams, SharePoint) for reviewer feedback and Q&A inside the tenant.* Deliver with the tooling. Run the pipelines on new requirement workbooks, resolve what they flag, reconcile counts, and prepare outputs for review.
* Bring ideas. Propose and prototype new uses of AI across HR and pay testing: coverage analysis, scenario generation, defect triage, process-to-requirement mapping.
* Python, 5+ years. Production code on a shared codebase: typing, pytest, git branches and pull requests, code review.* LLM application engineering, 12+ months shipped. Direct experience with at least one major model API (Anthropic, OpenAI, Azure OpenAI): tool use, structured output, streaming, token and cost management, prompt caching.
* Agentic systems. Built multi-step agents with tools, memory and approval gates; familiar with MCP and at least one agent framework or SDK.* Retrieval (RAG). Embeddings, vector stores, hybrid search, chunking strategy, and how to evaluate retrieval before building on it.
* Evaluation. Labelled datasets, metrics, regression suites for non-deterministic systems; can explain why a number moved.* Backend and hosting. FastAPI or equivalent, Docker, REST, authentication and authorisation, logging, deployment to Azure (App Service, Container Apps or AKS), CI/CD.
* Data handling. Messy multi-sheet Excel and CSV at scale with openpyxl or pandas; reconciliation that adds up; SQL.* AI-assisted development. Works fluently with AI coding assistants day to day and reviews their output critically.
Nice-to-have skills* Azure DevOps: test plans, suites, work items, REST API.
* HCM or payroll platforms (Dayforce, Workday, SAP SuccessFactors, PeopleSoft) or public-sector HR and pay.
Why work with Brunel? We are proud to offer exciting career opportunities from over 100 offices globally in 42 countries. Advancing your career takes time and effort - let us match you to your ideal position.
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