AI Solutions Engineer: LLMs, RAG & Client Impact

JobLoom; Sint-Pieters-Woluwe; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Snacks & coffee

Hybrid working culture

Health insurance & group life

Mobility budget

Résumé du poste

Sagacify, part of Craftzing, seeks an AI/ML Engineer who blends hands-on AI work with client collaboration. You’ll work on LLM-based apps, agents and RAG pipelines, while applying classical ML methods when suitable.

You’ll select the right tool for each problem and focus on business outcomes. You sit at the intersection of clients, business and engineering, reporting to the Head of ML and collaborating with Sagacify and Craftzing delivery and sales teams.

Qualifications

• Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or a related field.
• 2–5 years of experience in AI/ML engineering or related fields.
• Proficient in Python and software development best practices.
• Solid ML fundamentals: supervised/unsupervised learning, feature engineering, model validation.

Responsabilités

• Understand clients' business needs and translate them into end‑to‑end AI solutions.
• Act as a trusted client contact from scoping to delivery.
• Run discovery sessions and technical workshops with stakeholders.
• Design and build AI solutions with LLMs, vector DBs, APIs and orchestration layers.
• Develop agents and RAG pipelines integrating client data with LLMs.
• Perform prompt/context engineering to improve outputs and reduce hallucinations.
• Build, train and evaluate classical ML models when appropriate.
• Handle data gathering, cleaning, validating, feature engineering.
• Evaluate solutions with ML metrics, AI metrics and production monitoring.
• Deploy solutions to the cloud with attention to security and cost.
• Present AI concepts and results to non-technical audiences.
• Support sales in qualifying opportunities and writing proposals.
• Contribute to demos, proofs of concept and knowledge sharing.

Connaissances

Python

ML fundamentals

LLM/Generative AI

Client collaboration

Prototyping/ML pipelines

DevOps basics

Communication

English fluency

Formation

Master's degree in CS/Engineering/Data Science

Outils

OpenAI API

Hugging Face

LangChain/LangGraph

FastAPI

Docker

Description du poste

Sagacify, part of Craftzing, seeks an AI/ML Engineer who blends hands-on AI work with client collaboration. You’ll work on LLM-based apps, agents and RAG pipelines, while applying classical ML methods when suitable.

You’ll select the right tool for each problem and focus on business outcomes. You sit at the intersection of clients, business and engineering, reporting to the Head of ML and collaborating with Sagacify and Craftzing delivery and sales teams.