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Senior AI Engineer

Pubblicato il 12-09-2026 - Frontiere in Italia

Home » Senior AI Engineer (Agentic Systems)
Who we are
From feasibility study and analysis of the market and trends, to operations management, through innovation, research and development, we help companies design, shape and scale their business. At every stage of innovation, we work alongside our Clients, integrating their consulting or technology expertise strategically to make innovation possible.
Who are we looking for
We are looking for a Senior AI Engineer with a strong technical focus, capable of making a concrete contribution to the design and development of advanced solutions based on Large Language Models and multi-agent architectures .
Responsibilities/Sprecific functions
The role will work on projects with a high level of technological complexity, handling the definition of architectures, the implementation of solutions, and providing technical support to development teams, while contributing to the dissemination of best practices and the growth of internal skills.
Key Requirements
Senior level (approximately 5+ years of overall experience in software / AI)




Technical Requirements
Hands-on, demonstrable experience with Agentic AI and multi-agent systems , including:
agents with planners
tool use
memory management
agent orchestration and complex workflows
Advanced use of LLMs (OpenAI / Azure OpenAI, Anthropic, or open-source models) in production environments , not demos or PoCs
Solid experience with RAG in production , including:
chunking strategies
retrieval and ranking
performance evaluation
Use of frameworks such as LangChain, LangGraph, LlamaIndex (or equivalents)
Strong Software Engineering skills in Python , in particular:
code management with Git
testing
logging and observability
Ability to mentor, train, and guide development teams on architectural and implementation choices
Excellent command of the English language
Strong inclination toward knowledge sharing
Excellent communication skills, with both technical and non-technical stakeholders
High l

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