ベーシック

AI Engineer

rovigo, veneto, Italy 会社: JR Italy クライアント/雇用主: Hyperproof
投稿: 19.05.2026
閉鎖日: 03.07.2026
求人推薦状: 782f38775ce60c8e1d72861b12eb5580

求人情報

所在地
rovigo, veneto, Italy
会社
JR Italy
クライアント/雇用主
Hyperproof
求人推薦状
782f38775ce60c8e1d72861b12eb5580
リストの種類
ベーシック
EUワークパーミットが必要です
いいえ
投稿
19.05.2026
閉鎖日
03.07.2026

職務内容

AI Engineer

Full-time, Remote

At Synadia—the company behind , we enable global enterprises and innovative startups to seamlessly connect all their applications and data, no matter where they live or how they are deployed. Today, end users everywhere expect lower latency and faster access to digital services; with NATS under the hood, distributed applications can finally deliver.

Objectives

As an AI Engineer at Synadia, you’ll play a pivotal role in shaping the future of our AI systems, starting at the edge, but growing to any scale. You will design, optimize, and deploy state‑of‑the‑art large language models and inference services, building solutions that push the boundaries of what is currently considered the status quo in a rapidly evolving landscape.

Role Requirements and Responsibilities
  • Design, build, and maintain AI inference services leveraging modern runtimes (e.g., vLLM, llama.cpp, Triton, ONNX).
  • Train and fine‑tune large language models for various use cases.
  • Integrate and optimize vector stores to support advanced retrieval and semantic search.
  • Experience with graph databases and algorithms.
  • Develop and maintain MCP (Model Context Protocol) servers for custom AI workflows.
  • Write high‑quality Go code to implement, scale, and monitor AI services.
  • Collaborate with cross‑functional teams to design architectures that meet strict latency and throughput requirements.
  • Contribute to open‑source initiatives and stay current with cutting‑edge research in AI systems.
Skills and Qualifications
  • Strong hands‑on experience with LLMs and AI runtimes such as vLLM, llama.cpp, Triton, and ONNX.
  • Proven track record in training and fine‑tuning models, including prompt optimization and evaluation.
  • Experience working with vector databases/stores for retrieval‑augmented generation and search.
  • Understanding of MCP servers or similar frameworks for orchestrating AI applications.
  • Solid proficiency in Go programming, with a focus on concurrency and performance.
  • Familiarity with distributed systems, cloud environments, and high‑performance inference pipelines.
  • Excellent problem‑solving skills and ability to thrive in a fast‑paced, collaborative environment.
Location

Europe CET timezone, Remote

Diversity and Inclusion

Synadia is an equal opportunity employer. Our continuing policy is to recruit and employ the best‑qualified individuals without regard to race, color, sex, religion, national origin, disability, age, sexual orientation, gender identity, and/or any other protected characteristic.

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スキル

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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