AI Applied Scientist / ML Engineer
SylloTips
Software Engineering, Data Science
Remote
EUR 60k-80k / year + Equity
Posted on Mar 10, 2026
AI Applied Scientist / ML Engineer
Team
AI
Function
AI & Machine Learning
Level
Senior
Status
Live
Priority
P2
Location
Remote
Hiring Manager
Andrea Rossi
Recruiter
Maria Vittoria Bassetto
2 more properties
About SylloTips [Syllotips Homepage]
Imagine AI Agents that continuously learn from a company’s top employees.
At Syllotips we build an Agentic platform that queries, enriches, and maintains complex enterprise Knowledge Bases. Our Agents are orchestrated to retrieve contents, extract insights from conversations with users, build new documents, find knowledge gaps, and detect conflicts.
In doing this we transform undocumented expertise into dynamic, ever-adapting AI, bridging the gap between human know-how and enterprise systems.
Our distinctive feature is a true human-in-the-loop approach, escalating requests to company experts whenever human intervention is needed.
Our Story
SylloTips is one of the most the most promising AI startups in Europe.
Founded in Rome in 2023, we’ve been accelerated by Techstars and we have been part of Harvard Innovation Labs (finalists in the President’s Innovation Challenge).
Thanks of our unique human-in-the-loop approach we quickly gained the trust of high-profile customers in highly sensitive fields, including telecommunication, insurance and financial services.
In late 2025 we closed a 4M seed round, securing our growth for years to come. Our board includes tech leaders such as …
We are now expanding our team, with the goal launching SylloTips worldwide.
Who we are
We are humble. We are no-ego folks, really - we know all too well that if you are the smartest person in the room you are probably just in the wrong room. We are open-minded, always ready to learn something new and to question ourselves.
We are passionate. We are determined to make a difference and to create something awesome. We care deeply about the quality of our work, and we push for excellence.
We are hardworking. We take real ownership of what we build, and when something matters, we focus, follow through, and don’t cut corners.
We welcome and encourage diversity. We all come from different backgrounds, bringing our own perspective and ideals. We are aware that this makes us stronger, not weaker.
We are forgiving. We will not blame individuals for shortcomings - instead, we will try to understand how to fix the problem, and how to prevent it from reoccurring in the future. We work hard to ensure a safe workspace, where everyone feels free to express their opinions.
Our 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
Maria Vittoria Bassetto (COO): Serial startup leader, with 4+ years of experience in operations and managing and a background in law www.linkedin.com
Andrea Rossi (Head of AI): Ph.D in AI with 6+ years of working experience, including Google and Translated. www.linkedin.com
Andrei Stefan Bejgu (AI Applied Scientist): Ph.D in AI with 4+ years of working experience in NLP and LLMs, including Babelscape. 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
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 MCP-based protocols and agent-to-agent (A2A) communication 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
3+ years of hands-on experience in AI/ML, with a focus on LLMs, multi-agent systems, or autonomous agents.
Expertise in PyTorch;
Proven track record in building LLM-based AI Agents for production environments.
hands-on experience with frameworks like Langraph or similar (Swarm, Autogen, LangChain, deepagents) for agentic development
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
PhD in Computer Science, AI/ML, Mathematics, or a related field.
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: €60k – €80k EUR in total compensation
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!
