Artificial Intelligence Engineer

Satellit; Brussel Hoofdstad; On-site; EUR 65,000 - 95,000; Full time

Job summary

Satellit in Belgium seeks a software engineer to join a development group building AI-first applications. The role blends solid software engineering with hands-on experience creating systems using LLMs, retrieval-augmented generation, and agent-driven workflows.

The engineer will architect, build, validate and iterate on AI-enabled software, ensuring security, maintainability, and dependable value in production settings.

Qualifications

• Experience designing AI-enabled software with LLMs and RAG workflows.
• Strong communication and trade-off analysis with stakeholders.
• Ability to implement tests, logging, and CI/CD for AI systems.

Responsibilities

• Architect and build AI-driven applications with LLMs and RAG pipelines.
• Implement robust orchestration for LLM integrations with tests and monitoring.
• Choose model/frameworks with focus on accuracy, cost, latency, and security.
• Diagnose AI system issues like hallucinations and retrieval problems.
• Collaborate with engineers and product stakeholders to shape technical roadmap.

Skills

AI Development

Full-stack dev

Cloud-native

LLM integration

CI/CD & observability

Security-minded

Stakeholder collaboration

Testing & logging

Tools

MS Teams

Langchain

Langgraph

Semantic Kernel

Azure Cloud

Python

C#

Microsoft Foundry

Vector Database

Enterprise Search

Job description

Satellit is seeking a software engineer to join a development group building AI-first applications. The role blends solid software engineering practice with hands‑on experience creating systems that use large language models, retrieval-augmented generation, conversational assistants and agent‑driven workflows. The appointed engineer will architect, build, validate and iterate on AI‑enabled software so it operates securely, stays maintainable, and delivers dependable value in a production business setting.

Who are you?

Skills & Competences:

• Analytical decision‑making for AI versus deterministic solutions
• Cloud‑native application development
• AI application evaluation methods including test datasets, quality metrics, regression testing, and user feedback
• Technical communication and trade‑off analysis
• Collaboration and stakeholder management
• Service design with testing, logging, CI/CD, and deployment practices
• Security‑conscious mindset when working with internal or sensitive data

Preferred Qualifications:

• At least five years of professional experience as a full‑stack developer.

What will you do?

• Architect and build AI‑driven applications that combine large language models, retrieval‑augmented generation, agent‑style workflows, backend services, APIs and document retrieval pipelines.
• Implement and sustain robust orchestration for LLM integrations, including automated tests, centralized logging, CI/CD pipelines, and runtime monitoring to ensure observability.
• Establish safe, practical patterns for tooling, human approval gates, and controlled agent behavior; advise on model and framework choices with attention to accuracy, cost, latency, maintainability and security.
• Diagnose and resolve common AI system problems such as model hallucinations, poor retrieval relevance, excessive response times, ineffective cost profiles and unstable outputs.
• Work closely with software engineers and product or business stakeholders to embed AI engineering best practices and help shape the technical roadmap.

Technologies (mandatory)

• MS Teams
• advanced llm‑based ai generation
• RAG Pipeline
• Microsoft 365 Agents SDK
• SAFe Agile
• Logging
• Langgraph
• Langchain
• AI
• Semantic Kernel
• Security
• Microsoft Foundry
• Azure Cloud Platform
• Python
• C#
• product owner
• .NET / C#
• Microsoft Agent Framework
• Innovation
• Collaboration
• Azure Cloud
• Vector Database Or Enterprise Search Platform