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 AIScopra se questa occasione è adatta a lei leggendo tutte le informazioni riportate di seguito.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 asmall, 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 developmentLocation / Work model: Rome (Italy) / HybridMandate SkillsEducation: Bachelor's or Master's degree in Computer Science, Statistics, or a related quantitative fieldML architectures: Deep Learning, Generative AI / LLMs, predictive modelsAgentic 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 MCPScripting & OS: Bash shell scripting on Linux/UnixWhat you will doOwn 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.
xysqume 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 productionExtensive experience in AI/ML technologies and professional software development practices (testing, code review, version control, CI/CD)Expert?level PythonExperience developing cutting?edge GenAI solutions, exploring advanced AI models, and working with proprietary generative modelsHands?on experience with agent frameworks (LangChain, LangGraph, LlamaIndex) and vector/retrieval stacksDeep knowledge of Kubernetes and container?based deployment; Docker proficiencyBash shell scripting in Linux/Unix environmentsSolid understanding of secure?by?design principles for AI systems: least privilege, sandboxing, input/output validation, secrets handling, auditabilityAbility to take ambiguous problems from concept to working solution with limited supervisionExcellent written and verbal communication skills; able to explain complextechnical trade?offs to mixed audiencesNice to haveJava (or another JVM language) for integration with existing servicesExperience with MLOps/LLMOps tooling (model serving, experiment tracking, evaluation frameworks)Familiarity with agent interoperability protocols (e.G., MCP, A2A) and tool/plugin ecosystemsExposure to cloud platforms (AWS, Azure, GCP) and infrastructure?as?codeKnowledge 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 publicationsCandidate Data Privacy Notice J-*****-Ljbffr

📌 Senior Ai Engineer / Data Scientist (Lazio)
🏢 HCLSoftware
📍 Lazio