Generative AI Engineer

Vivid Resourcing

Antwerpen

Sur place

EUR 47 000 - 78 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Company car
Mobility budget
ADV days
Group insurance
Hospitalisation insurance
Training & certifications
Career progression

Résumé du poste

Vivid Resourcing is seeking an experienced AI Engineer to design and deploy production-ready Generative AI applications for aerospace environments. You will build intelligent assistants, copilots, and automation tools, leveraging LLMs, RAG, and AI agent frameworks.

The role emphasizes scalable data pipelines and cloud integrations, with a strong focus on regulated engineering contexts. The ideal candidate has hands-on experience with Python, Generative AI, LLMs, prompt engineering, and a solid

Qualifications

  • 2–8 years of experience in AI Engineering, Machine Learning, Data Science, or Software Engineering.
  • Strong Python programming skills.
  • Hands-on experience with Generative AI, Large Language Models (LLMs), prompt engineering, or conversational AI.
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, or AI agent frameworks is highly desirable.
  • Experience with cloud platforms, REST APIs, Docker, Kubernetes, or containerised deployments is beneficial.
  • Interest or experience in aerospace, aviation, defense, or other highly regulated engineering environments is an advantage.

Responsabilités

  • Design, develop, and deploy production-ready Generative AI applications and machine learning solutions.
  • Build intelligent assistants using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
  • Develop AI-powered copilots and automation tools to support engineering, maintenance, manufacturing, and operational teams.
  • Build scalable pipelines to process structured and unstructured technical data, including engineering documentation, maintenance records, and operational datasets.
  • Integrate AI solutions with enterprise systems, APIs, databases, and cloud platforms.

Connaissances

Python
LLMs
Prompt engineering
Generative AI
Conversational AI
RAG
Vector databases
Embeddings
AI agent frameworks
Cloud platforms
REST APIs
Docker
Kubernetes
Regulated environments

Outils

Docker
Kubernetes

Description du poste

Responsibilities
  • Design, develop, and deploy production-ready Generative AI applications and machine learning solutions.
  • Build intelligent assistants using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
  • Develop AI-powered copilots and automation tools to support engineering, maintenance, manufacturing, and operational teams.
  • Build scalable pipelines to process structured and unstructured technical data, including engineering documentation, maintenance records, and operational datasets.
  • Integrate AI solutions with enterprise systems, APIs, databases, and cloud platforms.
Your Profile
  • 2–8 years of experience in AI Engineering, Machine Learning, Data Science, or Software Engineering.
  • Strong Python programming skills.
  • Hands‑on experience with Generative AI, Large Language Models (LLMs), prompt engineering, or conversational AI.
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, or AI agent frameworks is highly desirable.
  • Experience with cloud platforms, REST APIs, Docker, Kubernetes, or containerised deployments is beneficial.
  • Interest or experience in aerospace, aviation, defense, or other highly regulated engineering environments is an advantage.
Nice to Have
  • Experience with OpenAI, Anthropic, Gemini, Llama, or other foundation models.
  • Hands‑on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar orchestration frameworks.
  • Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, Milvus, or FAISS.
  • Experience building enterprise AI assistants, engineering copilots, or intelligent workflow automation solutions.
  • Exposure to MLOps, CI/CD pipelines, Infrastructure as Code, and cloud-native AI deployments.
The Offer
  • Hybrid working model with offices based in Antwerp.
  • Opportunity to work on cutting‑edge Generative AI solutions within the aerospace industry, helping shape the future of engineering and aviation technology.
  • Collaborative environment focused on innovation, research, and continuous learning.
  • Competitive salary of up to €7,000 per month, depending on experience.
  • Company car or flexible mobility budget.
  • Comprehensive benefits package, including 12+ ADV days, group insurance, and hospitalisation insurance.
  • Strong investment in training, certifications, and career development.
  • Clear progression opportunities into Senior Generative AI Engineer, AI Architect, Technical Lead, or AI Practice Lead.
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