AI Applied Scientist
SylloTips
Software Engineering, Data Science
EUR 70k-90k / year + Equity
Posted on Nov 7, 2025
AI Applied Scientist - SaaS B2B / AI startup
About SylloTips [Syllotips Homepage]
Imagine AI agents that continuously learn from a company’s top employees. At SylloTips, we transform undocumented expertise into dynamic, ever-adapting AI, bridging the gap between human know-how and enterprise systems.
Founded in Rome in 2023 and run by AI PhDs and veterans from Amazon, Google, The Fork, and Translated, we’ve been accelerated by Techstars and are now part of the Harvard Innovation Labs (finalists in the President’s Innovation Challenge).
Thanks to our unique “human-in-the-loop” approach, SylloTips is already trusted by leading telecommunications, insurance, and finance companies to supercharge customer support and sales.
Founding Team
Giorgio Barnabò (CEO/CSO): Ph.D. in AI, strong academic background in Statistics and Finance, former research scientist at Amazon Alexa. www.linkedin.com
Leonardo Martini (COO): Ph.D. in Data Science, solid academic background in Maths and Computer Science, former researcher at Harvard. www.linkedin.com
Simone Silvestri (CTO): Full Stack Engineer with 5+ years of experience in microservices architecture development. www.linkedin.com
Andrea Rossi (AI Applied Scientist): Ph.D in AI with 5+ years of working experience, including Google and Translated. www.linkedin.com
Giorgio Pagliaro (Tech Lead): M.Sc. in Computer Engineering with 12+ years of experience as a Full Stack Software Engineer. Expertise in leading development teams, working in startup environments and architecting and developing robust software solutions. www.linkedin.com
Songle Jin (Founding Engineer): M.Sc. in Computer Science & Engineering with 5+ years of working experience, including The Fork. www.linkedin.com
Qianfei Gu (Senior Product Designer): Product designer with 5+ years experience in B2B companies from startups to enterprises. www.linkedin.com
Leo Arcasenza (Customer Support): Background in sales and digital marketing with 3+ years of working experience in startups across France and Italy. www.linkedin.com
Role Overview
We are seeking a seasoned AI Applied Scientist with expertise in AI Agents development, multi-agent architectures, large language models (LLMs), MCP / A2A protocols, pytorch. The role involves designing autonomous agent frameworks, advancing LLM capabilities, and scaling collaborative multi-agent systems. Experience with, NLP pipelines, Hugging Face libraries and models, vector databases, training techniques are welcomed.
Key Responsibilities
Design and implement design autonomous AI agents and multi-agent architectures for collaborative problem-solving.
Advance LLM capabilities (e.g., fine-tuning, prompt engineering, ethical alignment) for domain-specific applications.
Develop scalable systems for agent-to-agent (A2A) communication and MCP-based protocols to enable distributed decision-making.
Optimize AI model performance through distributed training, quantization, and GPU resource management.
Collaborate with engineering teams to deploy AI/ML microservices in Kubernetes environments.
Research and prototype reinforcement learning (RL) and NLP pipelines using PyTorch, Hugging Face, or TensorFlow.
Required Experience and Skills
PhD in Computer Science, AI/ML, Mathematics, or a related field.
3+ years of hands-on experience in AI/ML research, with a focus on LLMs, multi-agent systems, or autonomous agents.
Expertise in PyTorch/TensorFlow;
Proven track record in using Langgraph or LLM-based systems in production environments.
Strong understanding of vector databases, RL frameworks, and NLP toolkits (e.g., spaCy, Hugging Face).
Exceptional English communication skills (written and oral), with the ability to publish research or collaborate on whitepapers.
Plus
Experience with MCP/A2A protocols or decentralized agent coordination.
Distributed training frameworks (e.g., Ray), and cloud platforms (AWS/GCP/Azure).
Publications in AI/ML conferences (NeurIPS, ICML, ACL) or contributions to open-source AI projects.
Proficiency in MLOps techniques for lifecycle management of AI systems.
Interview Process
Discovery Interview (45 min)
CV/research portfolio review + discussion of previous experiences
1° Technical Interview (45 min)
Coding challenges: Algorithms & Data Structures
2° Technical Interview (45 min)
AI/ML theory & practice: Discuss NLP, generative AI, multi-agent systems, LLM ethics, and case studies from your research.
Behavioural Interview (45 min)
STAR-model assessment: Scenario-based questions on collaboration, conflict resolution, and ethics.
What We Offer
Employment type: full‑time, permanent.
Annual Gross Salary: €70k – €90k EUR.
SylloTips Stock Option Plan.
85% Remote Work (10 three-day meetings annually in Rome).
Apply to: hiring@syllotips.com
P.S. We welcome applications from candidates with higher salary expectations – let’s discuss!
