Opdrachten

Rabobank GenAI Engineer

GenAI Engineer

Info

Functie

GenAI Engineer

Locatie

Uren per week

36 uren per week

Looptijd

07.07.2026 - 29.06.2027

Opdrachtnummer

376180

Sluitingsdatum

date-icon06.07.2026 clock-icon15:00
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Rolomschrijving en taakafspraken

Language : English mandatory
ZZP Allowed : No
Description Vacancy :

GenAI Engineer

Within our Conversational AI & CRM department, we build and evolve all of Rabobank’s conversational channels — including GenAI chatbots, voicebots, messaging, telephony, and video. As a  GenAI Engineer, you play a pivotal role in shaping the next generation of Rabobank’s customer-facing GenAI experiences.

You combine deep hands-on expertise in Power Platform and Copilot Studio with technical leadership and architectural thinking. You guide the team in designing, building, and continuously improving our flagship GenAI-driven agent, while ensuring enterprise-grade quality, security, ALM discipline, and smooth collaboration with dependent teams across the bank.

Your Impact

  • Provide technical direction for GenAI use cases, including grounding, orchestrations, safety configurations, and prompt design patterns.
  • Drive adoption of best practices of prompt engineering, different prompting techniques, architecture, integration patterns, solution design, RAG systems.
  • Guide and mentor other Agent Makers, supporting them in complex builds, reviews, and hands-on problem‑solving.
  • Define and implement ALM strategy for Genesys AI Studio and Rabo AI assistants, ensuring reliability and repeatability across environments.
  • Responsible of AI governance and testing frameworks: regression testing, LLM-as-a-judge, E2E testing
  • Collaborate closely with dependent teams to align on designs, requirements, and integration needs.
  • Represent the team in stakeholder discussions, collaborating with end users and translating technical insights into business cases.

Your Tech Stack

  • Platforms: Genesys AI Studio, Azure Functions
  • AI & Orchestration: GenAI, prompt patterns, prompt chaining, agent-based automation
  • Integration: REST APIs, event-driven and legacy system integration
  • Programming language: Python
  • Cloud & CI/CD: Azure, Azure DevOps pipelines
  • Monitoring & Insights: Databricks, Power Bi

Nice to have

  • Platforms: Copilot Studio, Microsoft Power Platform, Genesys Cloud API knowledge
  • Programming language: JavaScript/TypeScript (Node.js), C#
  • Network and Security: Virtual Networks, private endpoints, firewalls, identity and access management, API security, and secrets management.

Your Profile

  • You have a relevant HBO or university degree.
  • 6+ years of Data Engineering, Data Science or Software Engineering,  of which at least 2 years working Generative AI.
  • Proven experience building or integrating with conversational AI or agent-based automation.
  • Hands-on expertise building AI Assistants: generative orchestration, function calling, prompt engineering and guardrails, connector/API integrations.
  • Able to coach peers, challenge designs, and elevate team-level quality.
  • Agile mindset, proactive problem-solver, and excellent communicator.
  • Passionate about leveraging GenAI to create intelligent, customer-centric solutions.
  • You are innovative at heart  - showing initiative, pushing boundaries and creating value-driven solutions.
  • Strong understanding of AI governance and testing frameworks: regression testing, LLM-as-a-judge, E2E testing

Bedrijfsgegevens

Bedrijfs gegevens

Rabobank

Rolomschrijving en taakafspraken

Language : English mandatory
ZZP Allowed : No
Description Vacancy :

GenAI Engineer

Within our Conversational AI & CRM department, we build and evolve all of Rabobank’s conversational channels — including GenAI chatbots, voicebots, messaging, telephony, and video. As a  GenAI Engineer, you play a pivotal role in shaping the next generation of Rabobank’s customer-facing GenAI experiences.

You combine deep hands-on expertise in Power Platform and Copilot Studio with technical leadership and architectural thinking. You guide the team in designing, building, and continuously improving our flagship GenAI-driven agent, while ensuring enterprise-grade quality, security, ALM discipline, and smooth collaboration with dependent teams across the bank.

Your Impact

  • Provide technical direction for GenAI use cases, including grounding, orchestrations, safety configurations, and prompt design patterns.
  • Drive adoption of best practices of prompt engineering, different prompting techniques, architecture, integration patterns, solution design, RAG systems.
  • Guide and mentor other Agent Makers, supporting them in complex builds, reviews, and hands-on problem‑solving.
  • Define and implement ALM strategy for Genesys AI Studio and Rabo AI assistants, ensuring reliability and repeatability across environments.
  • Responsible of AI governance and testing frameworks: regression testing, LLM-as-a-judge, E2E testing
  • Collaborate closely with dependent teams to align on designs, requirements, and integration needs.
  • Represent the team in stakeholder discussions, collaborating with end users and translating technical insights into business cases.

Your Tech Stack

  • Platforms: Genesys AI Studio, Azure Functions
  • AI & Orchestration: GenAI, prompt patterns, prompt chaining, agent-based automation
  • Integration: REST APIs, event-driven and legacy system integration
  • Programming language: Python
  • Cloud & CI/CD: Azure, Azure DevOps pipelines
  • Monitoring & Insights: Databricks, Power Bi

Nice to have

  • Platforms: Copilot Studio, Microsoft Power Platform, Genesys Cloud API knowledge
  • Programming language: JavaScript/TypeScript (Node.js), C#
  • Network and Security: Virtual Networks, private endpoints, firewalls, identity and access management, API security, and secrets management.

Your Profile

  • You have a relevant HBO or university degree.
  • 6+ years of Data Engineering, Data Science or Software Engineering,  of which at least 2 years working Generative AI.
  • Proven experience building or integrating with conversational AI or agent-based automation.
  • Hands-on expertise building AI Assistants: generative orchestration, function calling, prompt engineering and guardrails, connector/API integrations.
  • Able to coach peers, challenge designs, and elevate team-level quality.
  • Agile mindset, proactive problem-solver, and excellent communicator.
  • Passionate about leveraging GenAI to create intelligent, customer-centric solutions.
  • You are innovative at heart  - showing initiative, pushing boundaries and creating value-driven solutions.
  • Strong understanding of AI governance and testing frameworks: regression testing, LLM-as-a-judge, E2E testing

De recruiter

Mandy Hoogland

HeadFirst

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