Remote AI Systems Engineer: LLMs, RAG & MLOps

Sagacify; Brussel Hoofdstad; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Remote work

Flexible schedules

Team events

Résumé du poste

Sagacify is seeking a Mid-Level AI Systems Engineer to bridge AI engineering and MLOps. You’ll design, build, deploy and operate production-grade AI systems with a strong focus on generative AI, LLM-based apps and reliable ML operations.

Expect a split of 60-70% AI Engineering and 30-40% MLOps responsibilities, collaborating with the Head of ML and broader Craftzing delivery teams. Remote-friendly, with a culture of learning and impact.

Qualifications

• 3–5 years of AI/ML engineering or related fields.
• Solid understanding of LLM fundamentals: transformers, attention, generation params, fine-tuning.

Responsabilités

• Architect and implement production-grade AI systems with a focus on generative AI and LLM-based applications.
• Design, build, deploy and operate AI systems with attention to latency, reliability and cost efficiency.
• Develop autonomous agents, RAG pipelines and orchestration layers for integrated AI solutions.
• Collaborate across engineering, DevOps and data teams to ensure smooth production delivery.

Connaissances

Strong problem-solving

Team collaboration

Fluent communication

Dutch/English/French proficiency

Outils

Python

FastAPI/Flask

Docker

Kubernetes

LangChain

OpenAI API

Hugging Face Transformers

Description du poste

Sagacify is seeking a Mid-Level AI Systems Engineer to bridge AI engineering and MLOps. You’ll design, build, deploy and operate production-grade AI systems with a strong focus on generative AI, LLM-based apps and reliable ML operations.

Expect a split of 60-70% AI Engineering and 30-40% MLOps responsibilities, collaborating with the Head of ML and broader Craftzing delivery teams. Remote-friendly, with a culture of learning and impact.