GenAI & Agentic Systems Engineer (Production LLMs)

TALEO Consulting Group; Brussel; On-site; EUR 70,000 - 110,000; Full time

Job summary

TALEO Consulting Group is seeking an experienced AI/ML engineer to design and build GenAI and Agentic AI solutions, including RAG assistants and AI agents, for production deployment. You will implement LLMOps, CI/CD, monitoring, and evaluation frameworks while ensuring AI guardrails and responsible practices.

You will collaborate with business, IT, Risk and AI Governance teams, promoting reusable architectures and engineering best practices across projects.

Qualifications

• Master's degree in CS, AI, DS or Engineering.
• 5+ years in software, data or ML engineering.
• 2+ years delivering GenAI/LLM solutions to production.
• Strong Python skills with LangChain, LlamaIndex or Hugging Face.
• Hands-on with RAG, vector databases and agent orchestration.
• Experience with Azure OpenAI, AWS Bedrock or Google Vertex AI.
• Knowledge of LLMOps, GDPR and EU AI Act is a plus.
• Strong analytical, communication and problem-solving skills.

Responsibilities

• Design and develop GenAI and Agentic AI solutions, including RAG assistants and AI agents.
• Build and deploy LLM solutions into production.
• Implement LLMOps, CI/CD, monitoring and evaluation frameworks.
• Apply AI security, guardrails and responsible AI practices.
• Collaborate with business, IT, Risk and AI Governance teams.
• Promote AI engineering best practices and reusable architectures.

Skills

Python

LangChain

LlamaIndex

Hugging Face

RAG

Agent orchestration

Vector databases

Azure OpenAI

AWS Bedrock

Google Vertex AI

GDPR

EU AI Act

Analytical skills

Communication

Problem solving

Education

Master's degree in Computer Science, AI, Data Science or Engineering

Job description

• Design and develop GenAI and Agentic AI solutions, including RAG assistants and AI agents.
• Build and deploy LLM solutions into production.
• Implement LLMOps, CI/CD, monitoring and evaluation frameworks.
• Apply AI security, guardrails and responsible AI practices.
• Collaborate with business, IT, Risk and AI Governance teams.
• Promote AI engineering best practices and reusable architectures.

Your Profile

• Master's degree in Computer Science, AI, Data Science or Engineering.
• 5+ years of experience in software, data or ML engineering, including 2+ years delivering GenAI/LLM solutions to production.
• Strong Python skills and experience with LangChain, LlamaIndex or Hugging Face.
• Hands-on experience with RAG, vector databases and agent orchestration.
• Experience with Azure OpenAI, AWS Bedrock or Google Vertex AI.
• Knowledge of LLMOps, GDPR and the EU AI Act is a plus.
• Strong analytical, communication and problem-solving skills.