Client-Facing AI/ML Engineer: LLMs, RAG & Production

Sagacify; Brussel; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Sagacify, part of Craftzing, seeks an AI/ML Engineer who bridges hands-on AI engineering and client collaboration. You’ll convert a client's fuzzy challenge into a working AI solution, whether that's an LLM-powered assistant or a well-tuned predictive model, and explain why it works.

You’ll work at the intersection of business and engineering, collaborating across Sagacify and Craftzing teams, with a strong focus on generative AI, RAG pipelines and end-to-end deployments.

Qualifications

• Master's degree in Computer Science, Engineering, Data Science or a related field.
• 2–5 years of AI/ML engineering or related experience.
• Proficient in Python and software development best practices.
• Strong ML fundamentals: supervised/unsupervised learning, feature engineering, model validation and statistics.
• Hands-on with Python data/ML stack: Pandas, NumPy, Scikit-learn and PyTorch (or TensorFlow).
• Solid understanding of LLM fundamentals: Transformers, generation parameters, RAG and fine-tuning approaches.
• Hands-on with tools: OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker.
• Comfortable working with data in SQL databases.
• Natural consultant: listen, ask questions, translate business problems into AI solutions.

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 business and technical stakeholders.
• Design and build AI solutions combining LLMs, vector databases, APIs, orchestration layers and user interfaces.
• Develop agents and RAG pipelines connecting client data to LLMs for reliable answers.
• Perform prompt and context engineering to improve output quality.
• Build, train and evaluate classical ML models when best suited for the problem.
• Handle data: gathering, cleaning, validating data quality and feature engineering.
• Evaluate solutions with ML/generative AI metrics and production monitoring.
• Deploy solutions to the cloud with focus on security, reliability and cost efficiency.
• Present and explain AI concepts to non-technical audiences.
• Support sales in qualifying opportunities, estimating effort and writing proposals.
• Contribute to demos, proofs of concept and internal knowledge sharing.

Connaissances

Python

Pandas

NumPy

Scikit-learn

PyTorch

Transformers

RAG pipelines

SQL

Docker

FastAPI

OpenAI API

Hugging Face

LangChain

Formation

Master's degree in CS/Engineering/Data Science

Outils

AWS/Azure/GCP

MLflow/DVC

Kubernetes

VS Code / IDEs

Description du poste

Sagacify, part of Craftzing, seeks an AI/ML Engineer who bridges hands-on AI engineering and client collaboration. You’ll convert a client's fuzzy challenge into a working AI solution, whether that's an LLM-powered assistant or a well-tuned predictive model, and explain why it works.

You’ll work at the intersection of business and engineering, collaborating across Sagacify and Craftzing teams, with a strong focus on generative AI, RAG pipelines and end-to-end deployments.