AI Research Engineer
Pubblicato il 07-10-2026 - Altro in Genova
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Research Engineer (Agentic Post-training) in Italy.
Si assicuri di inviare la sua candidatura con tutte le informazioni richieste, come indicato nella panoramica del lavoro riportata di seguito.
This role sits at the frontier of large language model development, focusing on advancing post-training techniques for agentic AI systems. You will contribute to shaping models that go beyond text generation to actively reason, plan, and execute tasks through tool use and function calling. The work spans research and engineering, with direct impact on production‑grade AI systems deployed across real‑world applications. You will design and improve training pipelines that enable models to operate reliably in multi‑step, multi‑tool environments. The environment is highly research‑driven, collaborative, and fast‑paced, bringing together experts in AI systems, multimodal learning, and distributed training. Your contributions will directly influence the next generation of intelligent,
autonomous AI agents capable of operating on both cloud and edge devices.
Accountabilities
Conduct end‑to‑end research and engineering work to advance post‑training methods for agentic AI systems, focusing on tool use, reasoning, and autonomous behavior in real‑world tasks.
Improve core model capabilities including factuality, instruction following, multi‑step reasoning, tool/function calling, and multi‑agent coordination.
Design, build, and optimize large‑scale post‑training pipelines, including data curation workflows, training infrastructure, and evaluation frameworks.
Develop robust benchmarking and diagnostic systems to assess model performance, reliability, and readiness for deployment.
Integrate real‑world feedback signals from production usage into training loops to continuously enhance model behavior.
Collaborate closely with research, engineering, and product teams to ensure scal