Senior Python / Agentic AI Engineer

Capco is a global leader in consulting, uniquely positioned to drive innovation and transformation in the financial services industry. More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. Our business and technology professionals thrive in a dynamic environment where creativity, collaboration, and cutting-edge solutions are at the heart of everything we do. Experience the Capco difference and explore how you can shape your future with us at capco.com.

The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). The lab also supports client engagements and internal innovation by building demonstrators and reference architectures, transferring technology to delivery teams, publishing technical learnings, and maintaining the shared infrastructure, tooling and best practices that enable reproducible, secure and scalable AI deployment.

• →Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures.
• →Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments.
• →Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability.
• →Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources.
• →Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and models) to ensure reliability and maintainability of AI systems.
• →Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows.
• →Work closely with stakeholders to translate business requirements into secure, compliant, and scalable AI-driven solutions.
• →Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
• →Optionally contribute to user interfaces using Angular or React to support AI-powered applications.
• →Ensure systems meet enterprise standards for security, reliability, and compliance.

• Fluent in English and fluent in Dutch or French.
• 5+ years of professional experience building enterprise-grade Python applications, with strong software engineering fundamentals.
• Proven experience designing and deploying Agentic or LLM-powered systems in production, ideally within enterprise or regulated environments.
• Strong expertise applying large language models to complex automation, information retrieval, and decision-support problems.
• Experience designing agentic architectures, including orchestration, tool usage, planning workflows, and system-level reasoning patterns.
• Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines.
• Deep proficiency in Python, including modern frameworks, OOP, design patterns and best practices.
• Experience developing production APIs and backend services that integrate with enterprise systems and data sources.
• Demonstrated experience building reliable AI systems beyond prototypes, with attention to testing, monitoring, evaluation, and operational stability.