Senior AI Engineer / Data Scientist

HCLSoftware; Roma; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

HCLSoftware's Incubate Team in Rome is building a platform for safe execution of AI agents. You will own core components such as the agent runtime, tool-calling layer, sandboxing, policy enforcement, and observability.

You will build GenAI solutions, design evaluation pipelines, and drive production-grade services, mentoring engineers in a hybrid Rome-based setting.

Formación

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field.
• 4–5+ years of product development experience, with a track record of shipping AI/ML features to production.
• Expert-level Python.
• Experience developing GenAI solutions and working with proprietary 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 on Linux/Unix environments.
• Solid understanding of secure-by-design principles for AI systems.

Responsabilidades

• Own the design and delivery of core components of the agent execution platform.
• Build and evaluate GenAI solutions using state‑of‑the‑art models; prototype quickly and productionise.
• Define and implement evaluation pipelines and datasets to measure agent correctness, safety, robustness, and cost.
• Apply data science methods to understand agent behaviour and drive product decisions with evidence.
• Package and deploy services as containers on Kubernetes; contribute to CI/CD and monitoring.
• Provide technical leadership: lead design reviews and mentor engineers.
• Collaborate with product, security, and platform teams; document designs and share findings.
• Track agentic/LLM ecosystem and bring techniques into roadmap.

Conocimientos

Python

AI/ML

Data analysis

Communication

Educación

Bachelor's or Master’s in Computer Science/Statistics

Herramientas

LangChain

LangGraph

LlamaIndex

Kubernetes

Docker

Bash

Descripción del empleo

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

https://www.hcltech.com/candidate-privacy-notice