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- LittleBigCode
- GenAI Engineer
GenAI Engineer
AI Tools
Tech Stack
Agent Workflow
Build and fine-tune AI agents capable of autonomous reasoning, planning, and task execution. Implement RAG strategies and develop end-to-end GenAI pipelines from data ingestion to model serving.
About the Role
LittleBigCode is a technology consultancy based in Brussels, Belgium.
Position: GenAI Engineer
Location: Brussels, Belgium (Hybrid, 1-2 days remote per week)
Contract: Permanent
Salary: EUR 45,000 - EUR 70,000
As a GenAI Engineer, you will design, develop, and deploy GenAI models with a focus on large language models (LLMs) and multimodal systems. You will build and fine-tune AI agents capable of autonomous reasoning, planning, and task execution, develop end-to-end GenAI pipelines from data ingestion to model serving and monitoring, and implement prompt engineering and retrieval-augmented generation (RAG) strategies to enhance model performance and relevance.
Key Responsibilities:
- Design, develop, and deploy GenAI models with focus on LLMs and multimodal systems
- Build and fine-tune AI agents capable of autonomous reasoning, planning, and task execution
- Develop end-to-end GenAI pipelines from data ingestion to model serving and monitoring
- Implement prompt engineering and RAG strategies to enhance model performance and relevance
- Collaborate with cross-functional teams to integrate GenAI solutions into real-world applications
- Ensure solutions meet security, scalability, latency, and ethical AI standards
- Stay up to date with the latest research in generative AI
- Provide technical leadership and mentorship to other engineers in the AI/ML and software teams
Requirements:
- Master's degree in engineering (Computer Science, Mathematics, Statistics, etc.)
- At least 3 years of experience as a Software Developer or GenAI Engineer
- Excellent software engineering background in Python
- Extensive knowledge of cloud services (Azure, AWS, GCP)
- Deep understanding of LLMs fine-tuning and training lifecycle
- Hands-on experience with prompt engineering for LLMs (e.g., GPT-3, Gemini)
Benefits:
- 1-2 days remote work per week
- Professional development plan with paid certifications
- Coaching opportunities
- Team building events
- Cooptation bonuses and gift certificates