Senior AI Engineer – Flexible/Remote + Training

msg global solutions; Lombardia; Hybrid; EUR 55,000 - 65,000; Full time

Benefits offered by this job

Health Insurance

Welfare Plan

Job for Friends

Team Events

Flexible Working

Anniversary Milestones

Meal Vouchers

Training and Development

Job summary

msg global solutions is seeking an experienced software engineer to build reliable, production-ready AI agents. You will transform business processes into actionable, evaluable workflows, integrate retrieval pipelines with embeddings, and ensure end-to-end quality and observability in a fast-paced, enterprise environment.

Required expertise includes Python, FastAPI, LLM-based systems, and agent orchestration.

Qualifications

• 5+ years building software, including 2+ years on LLM-based systems in production.
• Proficient in Python, FastAPI, version control, testing and code reviews.
• Experience with agent orchestration frameworks and cloud AI platforms.
• Knowledge of retrieval, embeddings, and structured output for agents.
• Comfort with ambiguity and cross-functional collaboration.

Responsibilities

• Turn business processes into working agents with defined steps and handoffs.
• Design and build retrieval pipelines with embedding models and hybrid search.
• Create and maintain evaluation layers and automated scoring.
• Instrument production systems for observability: traces, latency, costs.
• Collaborate with business experts to extract domain logic for models.

Skills

Python

FastAPI

Async

LLM-based systems

LangGraph

APIs

Retrieval

Distributed systems

Education

Bachelor's degree or equivalent in Computer Science

Tools

AWS Bedrock

Azure AI Foundry

Google Vertex AI

LlamaIndex Workflows

Temporal

OpenAI API

pgvector / Weaviate / Pinecone

LangGraph

Job description

msg global solutions is seeking an experienced software engineer to build reliable, production-ready AI agents. You will transform business processes into actionable, evaluable workflows, integrate retrieval pipelines with embeddings, and ensure end-to-end quality and observability in a fast-paced, enterprise environment.

Required expertise includes Python, FastAPI, LLM-based systems, and agent orchestration.