Senior Ai Engineer / Data Scientist
The
Incubate Team
explores and implements cutting?edge applications in Agentic AI and Machine Learning.
The team is currently building a platform for the safe execution of AI
agents: an environment where autonomous agents can run, call tools, and act on data with isolation, policy enforcement, observability, and human oversight built in.
You will join a
small, hands?on team that moves from research idea to working prototype to production?grade component, and you will be expected to own significant parts of that journey.
Experience: 4–5+ years in product development
Location / Work model: Rome (Italy) / Hybrid
Mandate Skills
Education: Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative field
ML architectures: Deep Learning, Generative AI / LLMs, predictive models
Agentic AI: proven experience designing and shipping LLM-based agents (tool/function calling, multi?agent orchestration, RAG, memory) integrated with external systems via APIs or protocols such as MCP
Scripting & OS: Bash shell scripting on Linux/Unix
What you will do
Own the design and delivery of core components of the agent execution platform: agent runtime, tool/function-calling layer, sandboxing and isolation, policy and guardrail enforcement, and audit/observability.
Build and evaluate GenAI solutions using state?of?the?art and proprietary models; prototype quickly, measure rigorously, and harden what works into production?quality services.
Define and implement evaluation pipelines and datasets to measure agent correctness, safety, robustness, and cost (e.g., red?teaming, prompt?injection resistance, regression suites).
Apply data science methods — experiment design, statistical analysis, predictive modelling — to understand agent behaviour and drive product decisions with evidence.
Package and deploy services as containers on Kubernetes; contribute to CI/CD, monitoring, and operational tooling.
Provide technical leadership:
lead design reviews, set engineering standards for the team, and mentor less experienced engineers.
Collaborate with product, security, and platform teams; document designs and share findings through demos and technical write?ups.
Track the agentic/LLM ecosystem and bring relevant techniques, tools, and research into the team's roadmap.
What we are looking for:
BE/BTech or above in Computer Science, Statistics, or related stream; 4–5+ years of product development experience, with a track record of shipping AI/ML features to production
Extensive experience in AI/ML technologies and professional software development practices (testing, code review, version control, CI/CD)
Expert?level Python
Experience developing cutting?edge GenAI solutions, exploring advanced AI models, and working with proprietary generative models
Hands?on experience with agent frameworks (LangChain, LangGraph, LlamaIndex) and vector/retrieval stacks
Deep knowledge of Kubernetes and container?based deployment; Docker proficiency
Bash shell scripting in Linux/Unix environments
Solid understanding of secure?by?design principles for AI systems: least privilege, sandboxing, input/output validation, secrets handling, auditability
Ability to take ambiguous problems from concept to working solution with limited supervision
Excellent written and verbal communication skills; able to explain complex technical trade?offs to mixed audiences
Nice to have
Java (or another JVM language) for integration with existing services
Experience with MLOps/LLMOps tooling (model serving, experiment tracking, evaluation frameworks)
Familiarity with agent interoperability protocols (e.g., MCP, A2A) and tool/plugin ecosystems
Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure?as?code
Knowledge of AI governance, safety, or responsible?AI frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM Applications)
Contributions to open?source AI projects or publications
Candidate Data Privacy Notice
#J-*****-Ljbffr
Incubate Team
explores and implements cutting?edge applications in Agentic AI and Machine Learning.
The team is currently building a platform for the safe execution of AI
agents: an environment where autonomous agents can run, call tools, and act on data with isolation, policy enforcement, observability, and human oversight built in.
You will join a
small, hands?on team that moves from research idea to working prototype to production?grade component, and you will be expected to own significant parts of that journey.
Experience: 4–5+ years in product development
Location / Work model: Rome (Italy) / Hybrid
Mandate Skills
Education: Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative field
ML architectures: Deep Learning, Generative AI / LLMs, predictive models
Agentic AI: proven experience designing and shipping LLM-based agents (tool/function calling, multi?agent orchestration, RAG, memory) integrated with external systems via APIs or protocols such as MCP
Scripting & OS: Bash shell scripting on Linux/Unix
What you will do
Own the design and delivery of core components of the agent execution platform: agent runtime, tool/function-calling layer, sandboxing and isolation, policy and guardrail enforcement, and audit/observability.
Build and evaluate GenAI solutions using state?of?the?art and proprietary models; prototype quickly, measure rigorously, and harden what works into production?quality services.
Define and implement evaluation pipelines and datasets to measure agent correctness, safety, robustness, and cost (e.g., red?teaming, prompt?injection resistance, regression suites).
Apply data science methods — experiment design, statistical analysis, predictive modelling — to understand agent behaviour and drive product decisions with evidence.
Package and deploy services as containers on Kubernetes; contribute to CI/CD, monitoring, and operational tooling.
Provide technical leadership:
lead design reviews, set engineering standards for the team, and mentor less experienced engineers.
Collaborate with product, security, and platform teams; document designs and share findings through demos and technical write?ups.
Track the agentic/LLM ecosystem and bring relevant techniques, tools, and research into the team's roadmap.
What we are looking for:
BE/BTech or above in Computer Science, Statistics, or related stream; 4–5+ years of product development experience, with a track record of shipping AI/ML features to production
Extensive experience in AI/ML technologies and professional software development practices (testing, code review, version control, CI/CD)
Expert?level Python
Experience developing cutting?edge GenAI solutions, exploring advanced AI models, and working with proprietary generative models
Hands?on experience with agent frameworks (LangChain, LangGraph, LlamaIndex) and vector/retrieval stacks
Deep knowledge of Kubernetes and container?based deployment; Docker proficiency
Bash shell scripting in Linux/Unix environments
Solid understanding of secure?by?design principles for AI systems: least privilege, sandboxing, input/output validation, secrets handling, auditability
Ability to take ambiguous problems from concept to working solution with limited supervision
Excellent written and verbal communication skills; able to explain complex technical trade?offs to mixed audiences
Nice to have
Java (or another JVM language) for integration with existing services
Experience with MLOps/LLMOps tooling (model serving, experiment tracking, evaluation frameworks)
Familiarity with agent interoperability protocols (e.g., MCP, A2A) and tool/plugin ecosystems
Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure?as?code
Knowledge of AI governance, safety, or responsible?AI frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM Applications)
Contributions to open?source AI projects or publications
Candidate Data Privacy Notice
#J-*****-Ljbffr