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Capco

Advises banks, insurers and energy companies

Generative AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, ItalyHybrid

About the Job

Requirements

  • Professional experience in software or backend engineering, including designing and building enterprise-grade systems.
  • Strong hands-on software engineering skills and experience writing high-quality production code with Python.
  • Demonstrable experience designing and developing large language model and Agentic AI applications, including AI agents, LLM orchestration, and tool/function calling.
  • Strong understanding of retrieval-augmented generation architectures, retrieval approaches, and vector-based search.
  • Experience with agentic frameworks and integration approaches such as LangChain, LangGraph, MCP, or comparable technologies.
  • Understanding of testing and evaluating non-deterministic AI systems, including LLM/agent evaluation, monitoring, and observability.
  • Strong software architecture and engineering fundamentals, including APIs, distributed systems, integration patterns, and production reliability.
  • Strong experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native engineering practices.
  • Experience with modern software engineering and DevOps practices, including containers and CI/CD.
  • Experience contributing to architecture/design reviews and code reviews while remaining actively involved in engineering and development.
  • Ability to communicate complex technical concepts clearly and confidently to technical and non-technical stakeholders.
  • Professional English proficiency.

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.
  • Remain hands-on with software development, building complex components and taking prototypes through to production-grade solutions.
  • Apply engineering standards and best practices for AI applications, including reference architectures, testing and evaluation strategies, guardrails, observability, and CI/CD.
  • Design scalable, secure, and reliable AI systems, considering performance, latency, cost, monitoring, and production requirements.
  • Evaluate and recommend appropriate LLMs, frameworks, platforms, and tools based on technical and business requirements.
  • Participate in technical design and code reviews, collaborate with other engineers, and contribute to maintaining high engineering standards across the team.
  • Work directly with clients and stakeholders to translate business requirements into technical solutions and clearly communicate technical decisions and trade-offs.
  • Contribute to technical documentation, reference architectures, and knowledge sharing around Generative and Agentic AI.

Desired Qualifications

  • Experience with Infrastructure as Code and observability.
  • Experience with multi-agent architectures, advanced RAG, AI evaluation frameworks, or LLMOps.
  • Experience with NLP and production applications based on Large Language Models.
  • Experience taking AI prototypes through to secure, scalable, production-grade applications.
  • Experience with AI governance, risk, or assurance frameworks, such as the EU AI Act, ISO/IEC 42001, or NIST AI RMF.
  • Experience working in Financial Services or Energy.
  • Previous consulting or client-facing delivery experience.
  • Open-source contributions, technical publications, conference speaking, or other contributions to the engineering community.

About the Company

Capco

Advises banks, insurers and energy companies

Capco advises banks, payment companies, insurers, asset managers, and energy firms on strategy, regulation, and technology, and unlike generalist consultancies it sticks to finance and energy. In 2021, Capco became the largest acquisition in the history of Indian IT services company Wipro, which bought it to expand its consulting for banks. Clients hire Capco teams to redesign operations, comply with regulations, modernize payment and trading systems, and adopt AI under strict risk controls, while its engineers build the software behind those changes. Clients pay for consultants' time or a fixed project price, and Capco staff often work on site with client teams. Capco was founded in Belgium in 1998 and is based in London.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$80M
Headquarters
London, United Kingdom
Founded
1998

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