GenAI Engineer

Résumé du poste
CDI
Brussel
Salaire : 45K à 70K €
Début : 01 juin 2025
Télétravail fréquent
Expérience : > 3 ans
Éducation : Bac +5 / Master
Compétences & expertises
Contenu généré
Kubernetes
Nosql
Mongodb
Terraform
Postgresql
+7

LittleBigCode
LittleBigCode

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Le poste

Descriptif du poste

  • Design, develop, and deploy GenAI models, with a focus on large language models (LLMs) and multimodal systems

  • Build, fine-tune, and optimize AI agents capable of autonomous reasoning, planning, and task execution

  • Develop end-to-end GenAI pipelines, from data ingestion and preprocessing to model serving and monitoring

  • Collaborate with cross-functional teams (engineering, product, data science) to integrate GenAI solutions into real-world applications

  • Implement prompt engineering and retrieval-augmented generation (RAG) strategies to enhance model performance and relevance

  • Ensure solutions meet security, scalability, latency, and ethical AI standards

  • Stay up to date with the latest research and advancements in the generative AI landscape and apply them strategically

  • Provide technical leadership and mentorship to other engineers in the AI/ML and software teams.


Profil recherché

We are looking for an experienced GenAI Engineer to join our newly established Generative AI team. This role calls for a skilled leader with a strong track record in developing advanced AI solutions and AI Agents powered by large language models (LLM). As one of the principal Engineers, you will play a key role in shaping our Generative AI strategy and roadmap, ensuring we remain at the cutting edge of AI innovation.

  • You have a Master in engineering (Computer Science, Mathematics, Statistics…) and have at least 3 years of experience as a Sofware Developer / GenAI Engineer

  • Excellent Software engineering background in Python, (developing application, API, frontend integration, security best practices)

  • Extensive knowledge of cloud services and tools (Azure, AWS, GCP)

  • Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops)

  • Hands-on experience with prompt engineering for LLMs (e.g., GPT-3, Gemini, etc.)

  • Experience in fine-tuning pre-trained language models for specific tasks.

  • You have a good knowledge of SQL and NoSQL databases such as GCP BigQuery,’ PostgreSQL, Cassandra, MongoDB

  • You should be proficient in modern DevOps technologies. Specifically, you should have hands-on experience with at least one key tool-such as Kubernetes, Terraform, or Helm

  • You are Fluent in English + in Dutch and/or French


Déroulement des entretiens

  1. A first discussion with the recruitment team

  2. A technical interview with a Data Product Manager from our team

  3. A final discussion to answer any last questions and present your financial package

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