Lead PostgreSQL & AI Data Platform Engineer

Keystone Solutions; Brussel; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

Keystone Solutions is seeking a consultant on a 01/10/2026 - 31/12/2026 (3 months) assignment at client sites to design, manage, and optimize database platforms supporting traditional applications and AI solutions. The role emphasizes performance, security, and scalability for generative AI, RAG, and ML workloads.

You will collaborate with data scientists, architects, and DevOps to implement high-availability PostgreSQL environments, vector databases, and AI data platforms while ensuring latency

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or AI.
• Non-conventional backgrounds welcome if you can demonstrate impact.
• Initial experience in developing applications integrating AI.
• Attention to detail, quality of code, and awareness of AI performance (latency, scalability).
• Team spirit and collaboration with data scientists, architects, DevOps.

Responsabilités

• Management and optimization of PostgreSQL platforms.
• Installation and configuration of database clusters.
• Monitoring and performance analysis.
• Backup, disaster recovery, and business continuity.
• High availability & performance solutions (replication, fail-over).
• Query and index optimization.
• Monitoring database performance.
• Support for AI data platforms and LLM workloads.
• Configuration of vector databases.
• Support for RAG architectures.

Connaissances

AI Databases

PostgreSQL

SQL

ETL

ELT

Replication

Clustering

Fail-over

REST APIs

OpenAPI

Python

Bash

Formation

Bachelor's or Master's degree in Computer Science/AI

Description du poste

Keystone Solutions is seeking a consultant on a 01/10/2026 - 31/12/2026 (3 months) assignment at client sites to design, manage, and optimize database platforms supporting traditional applications and AI solutions. The role emphasizes performance, security, and scalability for generative AI, RAG, and ML workloads.

You will collaborate with data scientists, architects, and DevOps to implement high-availability PostgreSQL environments, vector databases, and AI data platforms while ensuring latency