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Capco

Senior Python / Agentic AI Engineer

Capco is hiring a Senior Python / Agentic AI Engineer in Brussels, Belgium. Level rates it ; you can apply on Capco.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include AI research.
  • Level classifies it as a senior role.
  • Level lists 702 other open roles at Capco.

AI in this role

ai-research

Senior Python / Agentic AI Engineer

 

Capco: Where Innovation Meets Opportunity

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.

 

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.

 

Responsibilities

  • 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.

Required Experience

  • 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.

 

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 a company car or 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 a non-hierarchical workspace where great ideas and initiative are celebrated, giving you a platform to showcase your expertise.

How we rate this

Senior Python / Agentic AI Engineer at Capco rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Research

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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