Hybrid AI Engineer: LLMs, Agents & Automation

Vivid Resourcing Ltd; Antwerpen; Híbrido; EUR 61.000 - 73.000; Tempo integral

Benefícios oferecidos por esta vaga

Company car or mobility budget

12+ ADV days

Resumo da vaga

Vivid Resourcing Ltd. is seeking an AI Engineer to design, build and deploy production-ready AI and ML solutions for diverse client projects in Mechelen.

You will develop AI-powered tools using LLMs, generative AI, NLP and agents, and create AI agents to automate workflows and knowledge retrieval. The role requires 2-5 years in AI engineering, production deployment experience, and a strong understanding of software engineering, APIs and cloud environments.

Qualificações

• 2-5 years of experience in AI engineering.
• Proven experience deploying AI/ML solutions into production environments.
• Practical experience with LLMs, generative AI, NLP or AI agents.
• Experience working with structured and unstructured data.
• Good understanding of software engineering principles, APIs and cloud environments.
• Strong problem-solving skills and an interest in applying AI to real-world business challenges.
• Comfortable working in a startup environment and engaging with clients.

Responsabilidades

• Design, build and deploy production-ready AI and machine learning solutions for client projects.
• Develop AI-powered tools using LLMs, generative AI, NLP and intelligent agents.
• Build AI agents to automate business workflows, knowledge retrieval, customer support and day-to-day operations.
• Work directly with clients to understand their challenges and turn them into practical AI solutions.

Conhecimentos

AI engineering

Client engagement

Problem solving

Ferramentas

LLMs

Generative AI

NLP

APIs

Cloud platforms

Descrição da vaga

Vivid Resourcing Ltd. is seeking an AI Engineer to design, build and deploy production-ready AI and ML solutions for diverse client projects in Mechelen.

You will develop AI-powered tools using LLMs, generative AI, NLP and agents, and create AI agents to automate workflows and knowledge retrieval. The role requires 2-5 years in AI engineering, production deployment experience, and a strong understanding of software engineering, APIs and cloud environments.