GenAI Engineer

CloudScaler
Utrecht, Netherlands
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Utrecht, Netherlands

Tech stack

JavaScript
API
Artificial Intelligence
Data analysis
Azure
C Sharp (Programming Language)
Information Engineering
DevOps
Identity and Access Management
Python
Key Management
Node.js
Regression Testing
E2e Testing
Power BI
Software Engineering
TypeScript
Chatbots
Genesys
Large Language Models
Prompt Engineering
Software Security
Virtual Agents
REST
Serverless Computing
Legacy Systems
Databricks

Job description

  • Provide technical leadership for GenAI use cases, including prompt design, grounding, orchestration, safety controls, and architecture patterns.
  • Drive best practices in prompt engineering, RAG systems, system design, and integration approaches.
  • Mentor Agent Makers and support complex builds, reviews, and problem-solving.
  • Define ALM strategy for Genesys AI Studio and Rabo AI assistants to ensure consistency and reliability across environments.
  • Own AI governance and testing frameworks, including regression testing, LLM-as-a-judge, and end-to-end testing.
  • Collaborate with cross-functional teams on design, requirements, and integrations.
  • Represent the team in stakeholder discussions and translate technical solutions into business value.

Platforms: Genesys AI Studio, Azure Functions AI & Orchestration: GenAI, prompt engineering, prompt chaining, agent-based automation Integration: REST APIs, event-driven & legacy systems Language: Python Cloud & DevOps: Azure, Azure DevOps Analytics: Databricks, Power BI

Nice to Have

Copilot Studio, Power Platform, Genesys Cloud APIs JavaScript/TypeScript (Node.js), C# Security: IAM, VNet, private endpoints, API security, secrets management

Requirements

  • 6+ years in Data Engineering / Data Science / Software Engineering, with 2+ years in GenAI
  • Experience building conversational AI or agent-based automation
  • Strong in AI assistant development, prompt engineering, orchestration, and API integration
  • Able to mentor peers and improve engineering quality
  • Agile mindset with strong communication skills
  • Good understanding of AI governance and testing (regression, LLM-as-a-judge, E2E)
  • Passion for building customer-focused GenAI solutions with an innovative mindset

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