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Senior Python / Agentic AI Engineer

Capco
šŸ‡§šŸ‡Ŗ Belgium
On-site
Senior
5 months ago
  • Python
  • Regulatory Compliance
  • AI
  • CI/CD
  • Angular
  • React.js
  • Large Language Models
  • OOP
  • Health insurance
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Senior Python / Agentic AI Engineer

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Capco: Where Innovation Meets Opportunity

Capco is a global leader in consulting, uniquely positioned to driveĀ innovation and transformationĀ in theĀ financial services industry. More than consultants, we areĀ strategic partnersĀ andĀ problem solversĀ 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 theĀ Capco differenceĀ and explore how you can shape your future with us atĀ capco.com.

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Capco’s AI Lab

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.

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Responsibilities

  • Design and implementscalable, production-grade Python services that leverage LLMs and Agentic architectures.
  • Design and implementrobust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments.
  • Build and maintainreliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability.
  • Designmodern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources.
  • Applystrong 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 intosecure, compliant, and scalable AI-driven solutions.
  • Contribute to system architecture decisions includingagent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
  • Optionally contribute touser interfaces using Angular or React to support AI-powered applications.
  • Ensure systems meetenterprise standards for security, reliability, and compliance.

Required Experience

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

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Why Join Capco?

  • Capco provides an environment where your expertise and innovative ideas will thrive. Here’s why you’ll love working with us:
  • Competitive Compensation: Includes aĀ company carĀ orĀ green mobility budget, allowances, end-of-year bonuses, health insurance, mobile phone, laptop, and meal vouchers.
  • Learning Opportunities: Gain access to advanced learning platforms, in-person and virtual courses, and our network of global experts to support your continuous development.
  • Flexible Working Environment: Enjoy a hybrid setting, combining the benefits of remote flexibility with in-office collaboration.
  • Work-Life Balance: Work in a supportive environment designed to encourage balance and wellness both personally and professionally.
  • Innovative Culture: Operate in aĀ non-hierarchical workspaceĀ where great ideas and initiative are celebrated, giving you a platform to showcase your expertise.

Senior Python / Agentic AI Engineer Ā· Capco

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