AI Engineer

Venquis; Bussum; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Venquis is seeking a Software AI Engineer to act as a horizontal AI specialist across Central Services in Bussum. This role blends strategic thinking with hands-on delivery, turning business needs into scalable AI-enabled systems.

You will partner with Finance, Legal, HR and other teams to identify opportunities, design end-to-end AI solutions, and ensure security and governance while collaborating with internal IT and external vendors.

Qualifikationen

• 5+ years of professional software engineering experience, preferably in a startup, scale-up or fast-growing, product-led environment.
• Native in using AI-assisted development tools to accelerate coding, testing, debugging and documentation while maintaining high engineering standards.
• Strong hands‑on proficiency in both Python and TypeScript, with the ability to work across the wider technology stack.
• Proven ownership of software projects from business requirements and architecture through implementation, testing, deployment, adoption and ongoing improvement.
• Demonstrated experience building production AI applications, agents or workflow automations using LLM APIs and modern AI engineering techniques.
• Strong understanding of structured outputs, tool calling, retrieval, context engineering, evaluation and the trade‑offs between deterministic workflows and agentic systems.
• Strong backend engineering skills, including APIs, enterprise integrations, databases and cloud-based application development.
• Practical experience with cloud platforms such as Azure, AWS or Google Cloud, including deployment, monitoring, reliability and production support.
• Good understanding of software architecture, scalability, maintainability, technical trade‑offs and secure software development.
• Strong ownership mindset: proactive, pragmatic and able to identify valuable opportunities rather than waiting for narrowly defined tasks.
• Strong communication skills in English, with the ability to work directly and effectively with business stakeholders.

Aufgaben

• Partner with Central Services teams to identify AI opportunities that automate or enhance existing processes.
• Evaluate feasibility, impact, and risk of AI use cases and help prioritise initiatives.
• Design, build, and deploy end-to-end AI solutions that solve operational problems.
• Own full-stack AI projects including LLM-based apps, backend services, APIs, and cloud deployments.
• Ensure solutions are secure, maintainable, and compliant with IT and data governance standards.
• Monitor performance and adoption of AI solutions and iterate based on user feedback.
• Contribute to internal AI standards, tooling, and reusable components.
• Support responsible AI usage with documentation, transparency, and risk awareness.

Kenntnisse

Python

TypeScript

LLM APIs

Cloud Platforms

APIs

Backend Development

English Communication

Tools

Azure

AWS

Google Cloud

Jobbeschreibung

The Software AI Engineer will operate as a horizontal AI specialist across all Central Services teams, identifying where artificial intelligence can meaningfully improve processes, tools, and ways of working.
This role is both strategic and hands‑on: from spotting opportunities and shaping use cases, to building, deploying, and maintaining real AI solutions that deliver measurable impact. You will work closely with internal stakeholders to translate business needs into robust, scalable AI-enabled systems.
The responsibilities of the AI Engineer will include:

• Partner with Central Services teams (Finance, Legal, HR, Responsible Investment, etc.) to identify opportunities where AI can automate, enhance, or support existing processes and decision-making;
• Evaluate feasibility, impact, and risk of AI use cases, and help prioritize initiatives;
• Act as an internal advisor on AI capabilities, limitations, and best practices.
• Solution Design & Delivery
• Design, build, and deploy end-to-end AI solutions that solve real operational problems;
• Own full-stack AI projects, including:
  • LLM-based applications (e.g. copilots, agents, automation tools);
  • Backend services and APIs;
  • Cloud infrastructure and deployments;
  • Lightweight user interfaces where required;
• Ensure solutions are secure, maintainable, and aligned with internal IT, compliance, and data governance standards;
• Stakeholder Collaboration
• Work directly with Central Services stakeholders from day one to define scope, roadmap, and success criteria;
• Translate business requirements into technical solutions, and technical constraints into clear business trade-offs;
• Collaborate with internal IT, external vendors, and advisors where relevant.
• Monitor performance and adoption of AI solutions and iterate based on user feedback;
• Contribute to internal AI standards, tooling, and reusable components;
• Support responsible AI usage, including documentation, transparency, and risk awareness.

The AI Engineer will report to the Head of Technology (also based in Bussum).
The role is highly varied and involves working in a supportive, dynamic team. The projects you could work on offer continuous learning, increase your knowledge of the PE industry, and support you in growing your future career with us.

Candidate profile

The Software AI Engineer will operate as a horizontal AI specialist across all Central Services teams, identifying where artificial intelligence can meaningfully improve processes, tools, and ways of working.
This role is both strategic and hands‑on: from spotting opportunities and shaping use cases, to building, deploying, and maintaining real AI solutions that deliver measurable impact. You will work closely with internal stakeholders to translate business needs into robust, scalable AI-enabled systems.
The responsibilities of the AI Engineer will include:

• Partner with Central Services teams (Finance, Legal, HR, Responsible Investment, etc.) to identify opportunities where AI can automate, enhance, or support existing processes and decision-making;
• Evaluate feasibility, impact, and risk of AI use cases, and help prioritize initiatives;
• Act as an internal advisor on AI capabilities, limitations, and best practices.
• Solution Design & Delivery
• Design, build, and deploy end-to-end AI solutions that solve real operational problems;
• Own full-stack AI projects, including:
  • LLM-based applications (e.g. copilots, agents, automation tools);
  • Backend services and APIs;
  • Cloud infrastructure and deployments;
  • Lightweight user interfaces where required;
• Ensure solutions are secure, maintainable, and aligned with internal IT, compliance, and data governance standards;
• Stakeholder Collaboration
• Work directly with Central Services stakeholders from day one to define scope, roadmap, and success criteria;
• Translate business requirements into technical solutions, and technical constraints into clear business trade-offs;
• Collaborate with internal IT, external vendors, and advisors where relevant.
• Monitor performance and adoption of AI solutions and iterate based on user feedback;
• Contribute to internal AI standards, tooling, and reusable components;
• Support responsible AI usage, including documentation, transparency, and risk awareness.

The AI Engineer will report to the Head of Technology (also based in Bussum).
The role is highly varied and involves working in a supportive, dynamic team. The projects you could work on offer continuous learning, increase your knowledge of the PE industry, and support you in growing your future career with us.

Candidate profile

We are seeking candidates (m/f/x) who can meet the following requirements:

• 5+ years of professional software engineering experience, preferably in a startup, scale-up or fast-growing, product-led environment.
• Native in using AI-assisted development tools to accelerate coding, testing, debugging and documentation while maintaining high engineering standards.
• Strong hands‑on proficiency in both Python and TypeScript, with the ability to work comfortably across the wider technology stack.
• Proven ownership of software projects from business requirements and architecture through implementation, testing, deployment, adoption and ongoing improvement.
• Demonstrated experience building production AI applications, agents or workflow automations using LLM APIs and modern AI engineering techniques.
• Strong understanding of structured outputs, tool calling, retrieval, context engineering, evaluation and the trade‑offs between deterministic workflows and agentic systems.
• Strong backend engineering skills, including APIs, enterprise integrations, databases and cloud-based application development.
• Practical experience with cloud platforms such as Azure, AWS or Google Cloud, including deployment, monitoring, reliability and production support.
• Good understanding of software architecture, scalability, maintainability, technical trade‑offs and secure software development.
• Strong ownership mindset: proactive, pragmatic and able to identify valuable opportunities rather than waiting for narrowly defined tasks.
• Strong communication skills in English, with the ability to work directly and effectively with business stakeholders.