Agentic AI Engineer for Public Sector Solutions

EKXEL IT Services & Financial Engineering

Brussel

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

EKXEL IT Services & Financial Engineering is seeking an innovative Agentic AI Engineer to lead the development and deployment of next-generation agentic AI systems. The role focuses on moving from traditional AI models to autonomous agents capable of reasoning, tool integration, and multi-step problem-solving.

You will engage with public-sector clients, translate complex requirements into technical specs, and define success metrics in compliance with standards.

Qualifications

  • Master's degree or higher in CS/Software Eng/AI/ML.
  • Minimum of 2 years of AI system development with at least 6 months in agentic AI architectures.
  • Proven track record deploying AI solutions in production.
  • Experience collaborating with cross-functional teams.
  • Continuous learning mindset and up-to-date with AI tech.
  • Proficiency in Python/TypeScript and at least one other modern language.

Responsabilités

  • Engage with stakeholders to identify value opportunities for agentic AI.
  • Translate requirements into technical specs for AI solutions.
  • Define success metrics and ensure alignment with standards.
  • Lead development of agentic AI solutions from concept to deployment.
  • Implement testing protocols to ensure reliability and accuracy.
  • Document architecture, patterns, and workflows for adoption.
  • Collaborate with cross-functional teams to align goals and timelines.
  • Communicate progress and outcomes through regular reports.

Connaissances

Agentic AI engineering
Python
Rust
Go
TypeScript
AWS
Machine learning
System integration
Testing protocols
Documentation

Formation

Master's degree (CS/Software Eng/AI/ML)

Outils

AWS Cloud

Description du poste

EKXEL IT Services & Financial Engineering is seeking an innovative Agentic AI Engineer to lead the development and deployment of next-generation agentic AI systems. The role focuses on moving from traditional AI models to autonomous agents capable of reasoning, tool integration, and multi-step problem-solving.

You will engage with public-sector clients, translate complex requirements into technical specs, and define success metrics in compliance with standards.

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