Senior AI Engineer — Production-Ready LLM Systems

msg global solutions ag; Lombardia; Hybride; EUR 55 000 - 65 000; Plein temps

Avantages offerts par ce poste

Diversity and inclusion

Global SAP/industry experts

Competitive salary

Résumé du poste

msg global solutions is expanding a team to turn business processes into reliable agents and end-to-end automation. You will start from real workflows, define steps, and specify tools and human handoffs to ensure correct results.

This is applied engineering, not research. You will build robust general-purpose agents and be responsible for quality, reliability, and measurable improvements in production environments.

Qualifications

• 5+ years building software, including 2+ years on LLM-based systems that reached production and real users.

Responsabilités

• Turn business processes into working agents: decompose the process, define the steps, the tools, the handoffs and the points where a human has to decide.
• Design and build retrieval pipelines: chunking and indexing strategy, embedding model selection, hybrid dense and keyword search, cross-encoder reranking, and grounding that keeps answers tied to real source data.
• Treat prompt and context engineering as an engineering discipline, with versioning, tests and measurement rather than tweaking by feel.
• Build the evaluation layer: golden datasets defined together with business experts, automated scoring, model-graded evals where they are appropriate, and regression suites that run on every change.
• Instrument production systems so quality is observed rather than assumed: traces, token cost, latency, failure rates, and drift as data and models change underneath you.
• Own quality end to end. Diagnose whether a failure came from retrieval, reasoning, tool design or the underlying data, and fix the actual cause.
• Choose models and manage the trade-off between quality, cost and latency, and revisit those choices as the available models change.
• Work directly with business experts to extract the domain logic that exists only in their heads and turn it into something testable.
• Take agents into production with the platform and infrastructure team, and stay accountable for how they behave once they are live.

Connaissances

Python

FastAPI

Pydantic

Async work

LangGraph

LlamaIndex Workflows

OpenAI Agents SDK

Temporal

Production vector search

Outils

AWS Bedrock

Azure AI Foundry

Google Vertex AI

pgvector

Qdrant

Pinecone

Weaviate

Milvus

Azure AI Search

Description du poste

msg global solutions is expanding a team to turn business processes into reliable agents and end-to-end automation. You will start from real workflows, define steps, and specify tools and human handoffs to ensure correct results.

This is applied engineering, not research. You will build robust general-purpose agents and be responsible for quality, reliability, and measurable improvements in production environments.