Generative AI Engineer

About the role

Capco, a global technology and business consultancy focused on financial services, is expanding its consulting team in Italy and is looking for a Generative AI Engineer to join the Capco AI Lab. The role designs and builds production-grade AI solutions for clients, working on LLM orchestration, AI agents, RAG, tool and function calling, evaluation and observability, and moving solutions from prototype to scalable production. It is a hands-on engineering position with direct collaboration with clients.

Key responsibilities

• Design and contribute to the end-to-end architecture of Generative and Agentic AI solutions, including orchestration, AI agents, tool/function calling, RAG, memory and state management.
• Build complex components and take prototypes through to production-grade solutions, applying engineering standards such as reference architectures, testing, guardrails, observability and CI/CD.
• Evaluate and recommend LLMs, frameworks, platforms and tools, and design scalable, secure and reliable systems.
• Take part in technical design and code reviews and maintain high engineering standards across the team.
• Work with clients and stakeholders to turn business requirements into technical solutions and share knowledge through documentation and reference architectures.

Required profile

• Software engineering or backend engineering experience designing and building enterprise-grade systems.
• Demonstrable experience designing and developing LLM and Agentic AI applications, including AI agents, LLM orchestration and tool/function calling.
• Strong understanding of RAG architectures, retrieval approaches and vector-based search.
• Experience with agentic frameworks such as LangChain, LangGraph, MCP or comparable technologies.
• Experience testing and evaluating non-deterministic AI systems, including LLM/agent evaluation and observability.
• Experience with at least one major cloud platform (AWS, Azure or GCP) and cloud-native practices, and with containers, CI/CD and Infrastructure as Code.
• Solid professional English and the ability to explain technical concepts to technical and non-technical audiences.

Required skills

• Python for high-quality production code.
• LLM and Agentic AI development, RAG, LangChain/LangGraph/MCP.
• Cloud platforms (AWS, Azure or GCP).
• Containers, CI/CD and Infrastructure as Code.

What we offer

• Minimum gross annual base salary from EUR 43,000, with a possible higher offer depending on experience and fit, and eligibility for a discretionary bonus.
• Health benefit coverage, meal vouchers and welfare allowance.
• Access to internal and Tier 1 learning platforms.
• A flat, non-hierarchical structure and ongoing learning opportunities.