Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

As a Full-stack Engineer, you will dive into the heart of our data operations. You will be instrumental in developing scalable data architectures, managing complex data transformations, and handling large data streams on the fly. Your work will directly contribute to delivering the best business intelligence solutions in the hospitality industry and shaping the future of our Distribution Insight product.

Where you will have impact

• Implement and maintain robust streaming and batch data processing pipelines to handle massive data volumes in real-time.
• Design, build, and support scalable SaaS and microservices architectures for our industry-leading BI solutions.
• Guarantee data integrity and quality by extending our logging, monitoring, and outlier detection systems.
• Deploy and monitor applications in a reproducible and scalable way, taking ownership of parts of our tech stack and infrastructure.
• Clean, analyze, and extract valuable datasets from various external sources to fuel our insights.
• Collaborate with and provide support to your team members and other teams across the company to solve complex challenges.
• Continuously experiment with and improve our technology stack, finding new ways to enhance our products and processes.

About our team

Join our small but mighty team of six versatile engineers, including two DevOps specialists! We're the powerhouse behind the Distribution Insight product, a critical part of the Lighthouse platform. Our mission is to process billions of real-time transactions, turning complex data into actionable insights for our customers in under 10 minutes. From monitoring TCP packets to building and maintaining our custom BI tool, we own the entire data journey. We thrive on collaboration and have a huge impact, helping hotels analyze everything from booking errors to channel performance.

What's in it for you?

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Competitive compensation: Proactively maintained to value your work.
• Net allowance: to support home office related expenses.
• Vouchers: lunch vouchers & eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Proven professional experience writing clean, maintainable Java code.
• Fluency in SQL and experience with database management.
• A strong affinity for and experience with big data technologies and concepts.
• A genuine passion for technology and AI tools and applying it to solve complex problems.
• A creative and entrepreneurial mindset with a drive for innovation and continuous improvement.
• A commitment to high standards and delivering quality work within a talented team.
• Excellent communication skills in English and a collaborative spirit.

We welcome

• Experience with cloud platforms like Google Cloud or AWS.
• Familiarity with web frameworks (e.g., Ember, JSF, AngularJS) and UNIX-based operating systems.
• Knowledge of modern Java features and Test-Driven Development (TDD) principles.

Technologies you will work with
Java, Python, SQL, Kafka, Google Cloud, Docker, Elasticsearch, Gitlab.

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

#LI-Hybrid

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

We are looking for a DevOps Engineer who is passionate about problem solving, scalable cloud engineering, automation and scalable programs, data architectures, complex data transformations, and handling large data streams on the fly, and wants to see their work translated into real life applications that impact 100,000’s of hotels worldwide.

Where you will have impact

• Implementing, deploying and maintaining SaaS and microservices architectures.
• Cleaning, analysing and extracting datasets from external sources.
• Guaranteeing data integrity and quality by extending our logging, monitoring and outlier detection systems.
• Deploying, upgrading and monitoring applications in a reproducible and scalable way.
• Experimenting, thinking about, and taking ownership of a piece of our tech stack/infrastructure and finding ways to improve it.
• Providing support to your team members and other teams in the company. We have a very open and flat structure and have a very short feedback loop on both internal and customer questions.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.

About our team

You'll join the Distribution Insight team, a key part of our Enterprise division focused on providing data offerings to the world's largest hotel chains. Our mission is to help these global chains optimize their distribution, monitor their channels, and track performance to maximize revenue without increasing costs. We develop a suite of products and services to achieve this, from monitoring tools that system engineers use to investigate performance, to AI-driven services that automate massive manual workflows for our clients. You will work closely with our Lead DevOps Engineer to manage and improve our processes, helping to reduce manual work and increase automation so the team can scale effectively.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Proven experience writing code, with a primary focus on Python.
• Solid experience with SQL, particularly in an Oracle Database environment.
• Hands-on experience with cloud platforms, like GCP or AWS, and containerization technologies.
• Proficiency with UNIX commands and environments.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Strong critical thinking skills and the ability to work effectively in a collaborative team environment.
• Fluency in professional English, both written and spoken.

We welcome

• An affinity for big data analytics and processing large-scale data streams.
• Experience with CI/CD tools, specifically GitLab CI.

Technologies you will work with

Google cloud, Docker, Python, SQL, UNIX, Oracle Database

 (feel free to ask us why these are the best fit for us)

#LI-Hybrid

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

Reporting to our Lead Enterprise Architect, you will join us as a Senior AI Solutions Engineer. In this role, you will be the technical backbone for our internal AI transformation, building the infrastructure that turns innovative ideas into reality at scale. You will act as the connective tissue between our growing portfolio of AI capabilities and the core SaaS platforms that power our internal operations. This is a hands-on builder role where you will bridge the gap between business needs and technical execution, ensuring our AI initiatives are architecturally sound and scalable.

Where you will have impact

• Design and build robust, scalable integrations between our AI capabilities and core SaaS platforms like Salesforce, HubSpot, and Slack.
• Develop reusable integration patterns and architectural blueprints that empower teams to deploy AI solutions efficiently and consistently.
• Build and maintain the shared automation infrastructure that underpins AI-powered processes across the business.
• Act as the dedicated technical partner for our AI Transformation Leads, translating business needs into detailed implementation plans.
• Prototype new AI solutions to prove technical feasibility before hardening them for production environments.
• Ensure all AI integrations adhere to the highest standards of data privacy and security, in line with GDPR and SOC 2 requirements.
• Evaluate new AI tools and frameworks, providing structured recommendations to guide our technology choices and drive innovation.

About our team

You'll be a key member of our Enterprise Architecture team, working at the heart of Lighthouse's internal innovation. We are the accelerators of AI adoption across the entire organization. Our mission is to enable every department by providing the technical expertise and architecture needed to build and deploy AI solutions. 

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You have a strong software engineering background, with hands-on experience building and deploying production-grade services or integrations.
• You have hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI) through professional work or significant personal projects.
• You have interest and some exposure towards the API and data models of major enterprise SaaS platforms like Salesforce, HubSpot, or Jira.
• You have a strong architectural judgment, with the ability to design robust systems while balancing pragmatism and speed.
• You have a solid understanding of modern integration patterns, including REST APIs, webhooks, and event-driven architectures.
• You bring experience working in a cross-functional role that bridges business and technology.
• You are comfortable in a fast-paced, high-growth technology environment.
• You are fully proficient in English, both written and spoken.

We welcome

•   Familiarity with advanced AI concepts like RAG pipelines, vector databases, or AI agent frameworks.

Technologies you will work with

Google Gemini, Claude, Salesforce, HubSpot, Jira, Confluence, Slack, Intercom, n8n.

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

Reporting to our Director of Data Science, you will be a key player in our Data Organisation. As our new Senior MLOps Engineer, your mission is to design, build, and maintain the robust infrastructure that powers our machine learning solutions, from classical models to new LLM-powered features and AI agents. Your role has a crucial enablement mandate: you will not only serve the Data R&D team but also set up the foundations that empower other engineering teams to ship their own AI features into production, directly impacting hundreds of thousands of hotels globally.

Where you will have impact

• Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
• Develop and maintain robust data pipelines using Airflow to ensure the timely delivery of high-quality data to our models.
• Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
• Act as a force multiplier by creating foundational tools and providing guidance that enables other engineering teams to ship their own AI features.
• Collaborate closely with our Data Scientists to continuously improve the accuracy, reliability, and scalability of our models.
• Play a strategic role in the end-to-end delivery of Data R&D projects, from the research phase through to product implementation.
• Stay at the forefront of MLOps technologies and best practices, sharing your knowledge to elevate the entire team.

About our team

You'll be joining the Data R&D team, a core group on a mission to maximize the power of data. We support existing solutions and drive innovation, processing billions of data points daily to unlock new value for the hospitality industry. In this role, you will work closely with a wide range of technical collaborators, including your Senior MLOps peer, our Data Science teams, the DevOps team on GCP infrastructure, the Data Platform team on data quality and pipelines, and Product Backend Engineers to guide them in building their own AI-powered features.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You have significant experience in an MLOps role, with a proven track record of putting machine learning models, including Generative AI, into production at scale.
• You have strong, hands-on experience with Google Cloud Platform (GCP), particularly with services like BigQuery, and VertexAI.
• You are highly proficient with Python and SQL.
• You have strong experience building and maintaining data pipelines with Airflow.
• You are familiar with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• You understand CI/CD pipelines (we use GitLab CI) and model monitoring principles.
• You are a strong communicator who can explain complex technical topics to a variety of stakeholders.
• You are curious, open-minded, and proactive, with a passion for exploring AI's capabilities in your own development work.

We welcome

• Experience with MLOps tools like MLflow or LLM-specific infrastructure like an Agent Development Kit (ADK).
• Familiarity with observability tools such as Grafana.
• A solid understanding of DevOps practices, including scripting and automation.

Technologies you will work with

Python, SQL, BigQuery, VertexAI, GKE, Cloud Run, Docker, Kubernetes, Terraform, Apache Airflow, GitLab CI/CD, Dataflow, scikit-learn, MLflow, VertexAI, ADK, Grafana.

Join Artefact Belgium: Lead the Future of Generative AI and Agentic systems

Are you an experienced AI engineer with a passion for generative AI, agentic systems, and technical leadership? Artefact Belgium is looking for a Tech Lead – Gen AI to own the technical vision of our AI projects, mentor a team of engineers, and drive cutting-edge solutions for our clients. If you have 6-7+ years of experience in AI and consulting, combined with a strong sense of technical ownership and a talent for enabling others, we'd love to hear from you.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our team in Belgium specializes in GenAI and agentic AI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

Who You Are

• Technical leader: You naturally set the bar for engineering quality. You make architectural decisions confidently, lead by example, and know when to roll up your sleeves and code alongside your team.
• Mentor and enabler: You thrive on helping others grow. You enjoy guiding junior and medior engineers, establishing best practices, and building a team culture of technical excellence.
• Client-facing expert: You are comfortable being the primary technical point of contact for clients — translating complex AI concepts into business value and building trusted relationships.
• Pragmatic innovator: You keep a close eye on the state of the art in generative AI and know how to apply emerging techniques to real-world, production-grade challenges.
• Autonomous and accountable: You take ownership of outcomes,  from architecture to delivery, and proactively flag risks and opportunities throughout the project lifecycle.

What You Will Do

• Own the technical vision: Define and drive the technical architecture of AI-powered solutions across client engagements, including RAG systems, agentic AI architectures, multi-modal applications, and multi-agent workflows.
• Lead by example: Stay hands-on : contribute to critical parts of the codebase, conduct code reviews, and set engineering standards that the team rallies around.
• Mentor a small team: Guide a team of 2-6 engineers and data scientists, helping them grow technically and professionally. Contribute to team-building efforts, including involvement in hiring and onboarding.
• Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• Engage and advise clients: Serve as the primary technical lead in client interactions — translating business needs into AI solutions, presenting technical choices, and building long-term trust throughout project lifecycles.
• Shape the AI roadmap: Identify new use cases, optimize performance and contribute to the development of internal AI tools and products.
• Build scalable infrastructure: Oversee deployment and maintenance of AI systems, including model serving, API development, vector databases, and orchestration frameworks.
• Contribute to thought leadership: Publish insights, present at conferences, and drive internal knowledge sharing on emerging AI technologies, agent frameworks, and best practices.

What You Bring

• A degree in computer science, engineering, mathematics, or a related field.
• At least 6-7 years of professional experience in AI, with a strong focus on Machine Learning, generative AI.
• Proven experience as a technical lead or senior engineer, with a track record of owning architecture decisions and guiding engineering teams.
• Consulting experience, including managing client relationships and delivering tailored, production-grade solutions.
• Deep expertise in modern generative AI techniques including RAG systems, agentic workflows, multi-agent architectures, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with AI frameworks and cloud providers.
• Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Proficiency in English, Dutch, or French is required; additional languages are a plus.
• You must be eligible to work in Belgium.

What We Offer

• Competitive compensation aligned with your expertise and experience.
• A genuine technical leadership role with real ownership : architecture decisions, team direction, and client impact.
• High-impact opportunities to work with state-of-the-art generative AI technologies and solve real-world challenges.
• A collaborative, inclusive workplace with access to global expertise through Artefact's international network.
• A chance to shape the direction of a fast-growing GenAI team within a leading global consulting firm.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value technical leadership, a drive to innovate, and the ability to bring out the best in others. If you're ready to own the technical direction of cutting-edge AI projects and make a tangible impact, we'd love to hear from you.

Join Artefact Belgium: Lead the Future of Generative AI and Agentic systems

Are you an experienced AI engineer with a passion for generative AI, agentic systems, and technical leadership? Artefact Belgium is looking for a Tech Lead – Gen AI to own the technical vision of our AI projects, mentor a team of engineers, and drive cutting-edge solutions for our clients. If you have 6-7+ years of experience in AI and consulting, combined with a strong sense of technical ownership and a talent for enabling others, we'd love to hear from you.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our team in Belgium specializes in GenAI and agentic AI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

Who You Are

• Technical leader: You naturally set the bar for engineering quality. You make architectural decisions confidently, lead by example, and know when to roll up your sleeves and code alongside your team.
• Mentor and enabler: You thrive on helping others grow. You enjoy guiding junior and medior engineers, establishing best practices, and building a team culture of technical excellence.
• Client-facing expert: You are comfortable being the primary technical point of contact for clients — translating complex AI concepts into business value and building trusted relationships.
• Pragmatic innovator: You keep a close eye on the state of the art in generative AI and know how to apply emerging techniques to real-world, production-grade challenges.
• Autonomous and accountable: You take ownership of outcomes,  from architecture to delivery, and proactively flag risks and opportunities throughout the project lifecycle.

What You Will Do

• Own the technical vision: Define and drive the technical architecture of AI-powered solutions across client engagements, including RAG systems, agentic AI architectures, multi-modal applications, and multi-agent workflows.
• Lead by example: Stay hands-on : contribute to critical parts of the codebase, conduct code reviews, and set engineering standards that the team rallies around.
• Mentor a small team: Guide a team of 2-6 engineers and data scientists, helping them grow technically and professionally. Contribute to team-building efforts, including involvement in hiring and onboarding.
• Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• Engage and advise clients: Serve as the primary technical lead in client interactions — translating business needs into AI solutions, presenting technical choices, and building long-term trust throughout project lifecycles.
• Shape the AI roadmap: Identify new use cases, optimize performance and contribute to the development of internal AI tools and products.
• Build scalable infrastructure: Oversee deployment and maintenance of AI systems, including model serving, API development, vector databases, and orchestration frameworks.
• Contribute to thought leadership: Publish insights, present at conferences, and drive internal knowledge sharing on emerging AI technologies, agent frameworks, and best practices.

What You Bring

• A degree in computer science, engineering, mathematics, or a related field.
• At least 6-7 years of professional experience in AI, with a strong focus on Machine Learning, generative AI.
• Proven experience as a technical lead or senior engineer, with a track record of owning architecture decisions and guiding engineering teams.
• Consulting experience, including managing client relationships and delivering tailored, production-grade solutions.
• Deep expertise in modern generative AI techniques including RAG systems, agentic workflows, multi-agent architectures, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with AI frameworks and cloud providers.
• Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Proficiency in English, Dutch, or French is required; additional languages are a plus.
• You must be eligible to work in Belgium.

What We Offer

• Competitive compensation aligned with your expertise and experience.
• A genuine technical leadership role with real ownership : architecture decisions, team direction, and client impact.
• High-impact opportunities to work with state-of-the-art generative AI technologies and solve real-world challenges.
• A collaborative, inclusive workplace with access to global expertise through Artefact's international network.
• A chance to shape the direction of a fast-growing GenAI team within a leading global consulting firm.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value technical leadership, a drive to innovate, and the ability to bring out the best in others. If you're ready to own the technical direction of cutting-edge AI projects and make a tangible impact, we'd love to hear from you.

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.

Think of a product. Like lean, mean software. For sports betting. With the best possible real-time solutions. Now think of innovating the testing process. Stopping bugs from reaching production. Paying special attention to how and what is delivered. Directly tailoring the experience for tens of thousands of people daily. Sounds interesting?

What You’ll Be Doing:

• Design, develop, and execute comprehensive manual test cases to ensure high-quality software delivery
• Build and maintain robust test plans for new and existing features, ensuring comprehensive coverage and accuracy
• Collaborate closely with cross-functional teams to drive quality initiatives and ensure seamless integration across multi-team projects
• Utilize test management tools to efficiently organize, manage, and track testing activities and results
• Participate in setting up the tooling and the processes
• Lead cross-team testing efforts for complex, multi-faceted projects, ensuring alignment and timely delivery
• Work alongside Integration Engineers, Product and Software Engineers team to define, implement, and continuously refine QA standards and best practices
• Identify opportunities for process improvements and propose innovative solutions to enhance product quality and development workflows
• Maintaining and updating documentation with recent discoveries
• Dedicated to maintaining close communication with stakeholders
• Coordinating and executing releases

We Are Looking for Someone Who:

• Proven experience in manual testing and a strong understanding of QA methodologies and best practices
• Strong skills in creating detailed test cases and developing test plans using tools like Xray or other test management systems
• Familiarity with task management tools such as Jira for effective collaboration and project tracking
• Exceptional analytical and problem-solving skills, with a proactive approach to identifying and resolving issues
• Strong time management and organizational abilities, capable of handling multiple priorities with ease
• Someone who understands stakeholder needs and is proactive in discussing details

Nice to Have:

• Experience with Networking
• Familiarity with Slot machines
• ISTQB certification or other relevant QA certifications
• Experience with Microsoft tech stack (.NET, WPF, Blazor)
• Experience with Linux
• Familiarity with automation frameworks (Playwright or any other)
• Able to read and comprehend code to understand underlying logic