SAGACIFY - AI/ML Engineer M/V/X

Sagacify SRL

Sint-Pieters-Woluwe

Hybride

EUR 60 000 - 90 000

Plein temps

Il y a 11 jours

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Avantages offerts par ce poste

Snacks & coffee

Hybrid working

Mobility budget

Team retreat

Insurance

Résumé du poste

Sagacify, part of Craftzing, is seeking an AI/ML Engineer to bridge hands-on AI engineering with client collaboration. You’ll work on LLMs, agents and RAG pipelines, designing production‑grade solutions that deliver real business value.

Join a multidisciplinary team, report to the Head of ML and collaborate with delivery and sales. The role emphasizes client impact, learning, and a pragmatic, problem‑driven mindset in a hybrid Belgium-based setting.

Qualifications

Master's degree in CS/Engineering/Data Science or related field.
2–5 years in AI/ML engineering or related roles.
Proficient in Python and software development best practices.
Solid ML fundamentals: supervised/unsupervised learning, feature engineering, model validation.
Hands-on with Python stack: Pandas, NumPy, Scikit-learn, PyTorch (or TensorFlow).
Understanding of LLMs: Transformers, RAG and fine‑tuning approaches.
Experience with OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker.
SQL data handling and client-facing communication skills.

Responsabilités

Understand clients' business needs and translate 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 using LLMs, vector databases, APIs and UIs.
Develop agents and RAG pipelines connecting client data to LLMs.
Prompt engineering to improve output quality and reduce hallucinations.
Build and evaluate ML models when suitable for the problem.
Handle data gathering, cleaning, quality checks and feature engineering.
Evaluate solutions with ML and generative AI metrics; monitor production.
Deploy to cloud with versioning and reproducibility; ensure security and cost efficiency.
Explain AI concepts and results to non-technical audiences.
Support sales with effort estimation and proposals; contribute to demos.

Connaissances

Python

ML Engineering

Pandas

NumPy

Scikit-learn

PyTorch

Transformers

RAG

LangChain

LangGraph

FastAPI

Docker

SQL

OpenAI API

Hugging Face

Formation

Master's degree in Computer Science/Engineering/Data Science/Math

Outils

OpenAI API

Hugging Face

LangChain/LangGraph

FastAPI

Docker

MLflow

DVC

Kubernetes

Description du poste

Want to create a positive impact through AI?

Craftzing and Sagacify are looking for an AI/ML Engineer who is as comfortable in a client workshop as in a codebase. Someone who does not see understanding a business problem and building the AI system that solves it as two separate jobs, but as two things that make each other better.

Do you get energy from turning a client's fuzzy challenge into a working AI solution, whether that's an LLM-powered assistant or a well-tuned predictive model, and then explaining clearly why it works? Then you will probably feel right at home here.

Your role :

We're on the lookout for an AI/ML Engineer who bridges hands‑on AI engineering and client collaboration. Someone who loves getting hands‑on with LLMs, agents and RAG pipelines, has solid roots in classical machine learning, and cares just as much about the client's business outcome as about the technical solution itself. In this role, you'll help clients identify where AI creates real value, then design, build and deliver production‑grade solutions, with a strong focus on generative AI and LLM‑based applications, while picking the right tool for each problem, from a gradient‑boosted model to a multi‑agent system.

In this role you sit at the intersection of clients, business and engineering, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery and sales organisation.

What you'll do :

Understand clients' business needs and translate them into clear, feasible end‑to‑end AI solutions
Act as a trusted point of contact for clients throughout the project, 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 grounded, reliable answers
Perform prompt and context engineering to improve output quality and reduce hallucinations
Build, train and evaluate classical ML models (classification, regression, forecasting, clustering) when they are the best fit for the problem
Handle the data side: gathering, cleaning, validating data quality and feature engineering
Evaluate solutions rigorously, using ML metrics, generative AI metrics and production monitoring (quality, drift, costs)
Deploy solutions to the cloud with attention to security, reliability and cost efficiency, including versioning and reproducibility of models and data
Present and explain AI concepts, trade‑offs and results to non‑technical audiences
Support sales in qualifying opportunities, estimating effort and writing proposals
Contribute to demos, proofs of concept and internal knowledge sharing

You stay in the code, you stay close to the client, and you keep learning as you go.

Who we're looking for:

You hold a Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or a related field
You have 2 to 5 years of experience in AI/ML engineering or related fields
You're proficient in Python and software development best practices
You have strong machine learning fundamentals: supervised and unsupervised learning, feature engineering, model validation and the statistics behind them
You have hands‑on experience with the Python data and ML stack: Pandas, NumPy, Scikit‑learn and PyTorch (or TensorFlow)
You have a solid understanding of LLM fundamentals: Transformers, generation parameters, RAG and fine‑tuning approaches
You have hands‑on experience with tools such as the OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker
You're comfortable working with data in SQL databases
You're a natural consultant: you listen, ask the right questions and see the business behind the technical problem
You're comfortable presenting to clients and explaining complex topics simply
You have strong problem‑solving ability and a pragmatic, solution‑oriented mindset
You have a team spirit and enjoy collaborating across multiple roles
You're autonomous, curious, and quick to learn new tools
You can communicate fluently in English and French or Dutch

Bonus points

Experience with a major cloud provider (AWS, Azure or GCP)
Familiarity with MLOps practices: CI/CD, model and data versioning (MLflow, DVC), monitoring, Kubernetes
Experience in one of our other focus domains: NLP, Computer Vision or time series
Experience with gradient boosting libraries (XGBoost, LightGBM)
Previous experience in a client‑facing role
Experience contributing to proposals, pre‑sales or client workshops
AI‑native engineering workflows: hands‑on experience with AI coding agents and AI‑assisted development environments (Cursor, Claude Code, Windsurf, Copilot, etc.)

Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn.

Why you will love working with us :

Sagacify is part of Craftzing, and together we build AI solutions that create lasting impact for our clients. You will be part of a team of enthusiasts who love to learn, continuously develop new skills and fast‑track our customers' AI journey across various industries.

At Craftzing and Sagacify, you get the trust and space to do your best work - in a human‑sized environment with real team spirit, flexible working and room to take ownership.