Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting 

The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.

The NCIA provides a wide range of services, including:

• Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
• Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
• Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
• Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
• Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.

Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.

The program

Assistance and Advisory Service (AAS)

The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.

To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.

Role ID – CDT-0012

Role Duties and Responsibilities

Cyber Digital Transformation Division (CDT) drives the end-to-end transformation of NATO’s Military and Non-Military Instruments of Power, enabled by digital technologies, to enhance the Alliance’s ability to execute its core tasks in a Multi-Domain Operations (MDO) environment. In particular, increase Alliance Digital Interoperability, support the modernisation of NATO’s Standardization processes, and enable the adoption of data exploitation capabilities and AI.

The contractor shall support NATO’s digital transformation by developing and advancing communications and networking standards that enable persistent, secure, and policy- compliant consultation, command, and control networks in support of Multi-Domain Operations (MDO).

We are looking for a well-rounded professional with excellent technical and communication skills as well as experience in the military domain. NATO knowledge would constitute and asset.

Essential Skills, Experience and Certifications

• The contractor shall design, develop, integrate, and maintain ontologies supporting NATO operational and technical use cases. This includes ensuring compliance with agreed standards, enabling interoperability across systems, and managing ontology artefacts through controlled lifecycle processes, including versioning, validation, and updates.
• The contractor shall develop and maintain semantic artefacts, including taxonomies, thesauri, dictionaries, and code lists, to ensure consistency of terminology and structured data usage across NATO systems and initiatives. These artefacts shall align with NATO terminology directive and applicable standardization policies.
• The contractor shall contribute to the development, review, and harmonization of NATO data standards, ensuring alignment with ISO standards and NATO standardization artefacts. This includes supporting the modernization of standardization processes and improving interoperability across military and non-military domains.
• The contractor shall define and implement governance processes for ontology lifecycle management, including roles, responsibilities, workflows, and quality assurance mechanisms. The contractor shall ensure that ontology and data artefacts are aligned with the NATO Enterprise Architecture Framework (NAF v4.1) and model-driven development practices.
• The contractor shall support the integration of ontologies into knowledge graphs and operational systems, enabling advanced data exploitation and supporting artificial intelligence and machine learning use cases. This includes ensuring compatibility with secure cloud environments and supporting DataOps and MLOps practices, where applicable.
• The contractor shall prepare and deliver briefings, presentations, and reports to NATO committees, capability panels, and working groups, and shall coordinate activities across stakeholders to ensure alignment, transparency, and effective progress of all assigned tasks.
• The contractor shall provide support to unforeseen or ad hoc requirements within the scope of ontology engineering, data standardization, and interoperability, as requested and prioritised by CDT. Such support shall be subject to mutual agreement on scope, effort, and priority.

Working Location

• Brussels, Belgium

Working Policy

• Onsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Valid National or NATO Secret personal security clearance

Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting 

The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.

The NCIA provides a wide range of services, including:

• Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
• Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
• Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
• Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
• Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.

Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.

The program

Assistance and Advisory Service (AAS)

The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.

To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.

Role ID – CDT-0010

Role Background

Cyber Digital Transformation Division (CDT) drives NATO’s Digital Transformation, a key objective is to strengthen the ability of Allies and the NATO Enterprise to deter, defend against and counter the full spectrum of cyber and cyber-enabled threats at the speed of relevance, comprehensively across the political, military, and technical levels. In particular, strengthen mechanisms and tools to enhance readiness and resilience against cyber threats across the Alliance, focusing in particular on Mission Vital Infrastructure (MVI).

We are looking for a well-rounded professional with excellent technical and communication

skills as well as experience in the cybersecurity domain. NATO knowledge would constitute

and asset.

Role Duties and Responsibilities

• 1 Requirements Analysis and Stakeholder Coordination
  • The contractor shall engage with relevant stakeholders, including NATO committees, Capability Panels, national SMEs, and standards custodians, to elicit, analyse, and validate requirements related to cyber security standards and CIS protection. This includes translating complex cyber security specifications, policies, and operational needs into clear, actionable, and testable requirements.
• 2 Development and Maintenance of Cyber Security Standards
  • The contractor shall contribute to the development, review, and maintenance of NATO cyber security standards, ensuring alignment with NATO policies and internationally recognized frameworks such as NIST and ISO. This includes supporting the 8lifecycle of standardization artefacts within NATO governance processes.
• 3 Development of Cyber Security Conformance Criteria and Audit Objectives The contractor shall define, document, and maintain cyber security conformance criteria and audit objectives, with a focus on enabling automation of compliance verification wherever feasible. This includes ensuring that criteria are measurable, testable, and aligned with NATO security policies and standards.
• 4 Development of Cyber Security Reference Architectures
  • The contractor shall design and maintain cyber security reference architectures, including the application of modern security principles such as Zero Trust. These architectures shall support secure system design across NATO CIS environments, including cloud and AI-enabled systems.
  • The contractor shall support the development and standardization of security measures for cloud-based environments and AI-enabled systems, ensuring that emerging technologies are aligned with NATO cyber security standards and best practices.
• 5 Interoperability and Standards Harmonization
  • The contractor shall ensure that cyber security standards are harmonized across NATO CIS domains and aligned with international standards and frameworks. This includes supporting interoperability between systems and reducing inconsistencies across standards and implementations.
• 6 Reporting, Briefings, and Technical Communication
  • The contractor shall prepare and deliver briefings, presentations, and reports to NATO committees, Capability Panels, and working groups, clearly communicating technical concepts, progress, and recommendations related to cyber security standards.
• 7 Support to Unforeseen and Ad Hoc Requirements.
  • The contractor shall provide support to unforeseen or ad hoc requirements within the scope of cyber security standards engineering, data standardization, and interoperability, as requested and prioritised by CDT. Such support shall be subject to mutual agreement on scope, effort, and priority.

Essential Skills, Experience and Certifications

• The candidate must have comprehensive knowledge of the principles of computer and communications security, networking, and the vulnerabilities of modern operating systems and applications.
• The candidate must have at least five (5) years of demonstrated experience working with national or international CIS and cyber security standards, including their application and auditing at both governance and operational levels. Demonstrated experience working with NIST and ISO standards is essential.
• The candidate must have demonstrated experience in securing cloud-based environments.
• The candidate must have demonstrated experience in defining and implementing cyber security architectures, including Zero Trust principles.
• The candidate must have good knowledge of securing AI-enabled systems and data- driven capabilities.
• The candidate must have knowledge of high-level programming languages. Experience with languages such as Python is desirable.
• The candidate must demonstrate strong communication and presentation skills, including the ability to convey complex cyber security concepts to both technical and non-technical audiences.
• The candidate must demonstrate strong project management skills.
• The candidate must demonstrate the ability to analyse complex cyber security specifications and translate them into clear, actionable requirements or standards artefacts.
• The candidate must demonstrate a strong security-focused and analytical mindset, with attention to detail and problem-solving capability.
• Knowledge of NATO Security Policy and its supporting Directives is desirable.
• Knowledge of the NATO Digital Policy Committee (DPC) and its substructure is desirable.
• Knowledge of NATO standardization artefacts, including STANAGs, Allied Communications Publications (AComP), and Standards Related Documents (SRD), is desirable.
• Knowledge of NATO CIS Security Accreditation processes, or equivalent national processes, is desirable.
• Knowledge of additional cyber security standards and frameworks, such as PCI-DSS, FedRAMP, or C5, is desirable.
• Recognised professional certifications in cyber security and/or project management are desirable.

Education

• The candidate must possess a university degree in a relevant engineering or technical field such as computer science, systems science, or an equivalent technical qualification.

Working Location

• Brussels, Belgium

Working Policy

• Onsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Valid National or NATO Secret personal security clearance

About the Role: 

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business. 

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success. 

What You’ll Do: 

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts
• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions
• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers
• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline
• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach

What You’ll Bring: 

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales
• Extensive experience managing multithreaded sales cycles involving multiple stakeholders
• Strong existing relationships with C-suite executives and channel partners in large enterprises
• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity
• Reputation for integrity, honesty, and building long-term customer relationships

What You’ll Get: 

Veeam offers benefits that support your whole self: 

• 26 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Supplemental pension plan with employer contribution, including life and disability coverage
• Hospitalization insurance with global coverage and family add-on option
• Annual eco vouchers, prorated for new joiners
• Monthly home office allowance for remote work support
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Belgium, Veeam reserves the right to decline the application for this position.

#LI-DF1 #LI-REMOTE

Eager to learn more or just want to share your resume for future opportunities? If you have the learning attitude, you are welcome! Learn more about our functional teams below and discover how you can shine brighter with Lighthouse!

Engineering #LI-DNI

Byte-ing into 100TB of data daily to serve our clients a digital feast of top-notch insights. Our team is composed of engineering champions, to include Software Engineer's, Solution Architect's, and Engineering Team Lead's.

Finance

Providing unwavering support as one unit and joyful number crunchers who thrive on collaboration and take on any challenge. Start your finance journey with Lighthouse as a Finance Coordinator, Credit Collector, Accountant, or other finance function.

Business Operations

Incubating and scaling new lines of business as cross-functional ninjas with a pulse on the operating rhythm of Lighthouse. Whether you start as a Revenue Manager, Sales Operations Specialist, Analytics Engineer, or other cross-functional ninja, the sky is the limit.  

Customer Operations

Delivering white-glove client service by strengthening customer relationships and providing an unmatched customer experience. From Product/Technical Support Specialist's, Customer Care Manager's, and Client Onboarding Specialist's, our customer operations team are champions at fostering a client centric experience.

Legal

Ensuring every ‘T’ is crossed and every ‘i’ is dotted as guardians of Lighthouse legality with a fortress of contracts

Marketing

Innovation meets imagination in the world of travel and hospitality technology on our marketing team

People & Talent

Powering Lighthouse’ success by cultivating talent, fostering a culture of growth, and enhancing the employee experience

Product

Crafting the industry’s best products, all while juggling requests from sales

Revenue

Our revenue team of sales practitioners and account managers champion providing the hospitality industry with the very best products to optimise their commercial strategy

Joining Collibra’s Product Management Team

Collibra is looking for an Associate Product Content Engineer to build world-class solutions on our market-leading platform. You’ll join a team dedicated to empowering our customers by turning complex data challenges into intuitive, high-value experiences.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Associate Product Content Engineers at Collibra are responsible for

• Building with Purpose: Develop impactful, use-case-driven content (e.g., Data Products, EU AI Act, GDPR, BCBS 239) by translating technical platform features into accessible, high-value solutions.
• Optimizing Time-to-Value: Be obsessed with the end-user journey. You’ll use configuration and customization to simplify the out-of-the-box experience, ensuring customers see results faster.
• Fearless Innovation: Experiment with AI and emerging technologies. We value "failing fast"—prototyping bold ideas, learning from what doesn't work, and doubling down on what does.
• Supporting the Ecosystem: Act as a platform expert in our community forums, guiding customers through scalable customizations and high-quality setups.
• Shaping the Roadmap: Partner with Product Management to influence the vision and roadmap for our Data Intelligence platform.

You have

• 0–3 years of experience in data consulting, solutions architecture, business analysis, or process engineering. We value a mix of professional experience and academic excellence; if you are a recent graduate, you can demonstrate this through relevant internships, advanced coursework, or hands-on projects involving complex data systems.
• Technical Curiosity: Proficiency (or a strong desire to master) modern integration and automation tools:
• AI & Automation: Experience with Model Control Planes (MCP), LLM orchestration, or Prompt Engineering.
• Data Languages: Comfort with SQL, Python, or JSON/REST APIs for data exchange.
• Workflow Design: Familiarity with BPMN 2.0 or low-code/no-code workflow builders.
• User-Centric Mindset: A background in Data Governance, Privacy, or Cataloging is a plus, but a passion for clean design and intuitive user flow is a must.
• Agility: A demonstrated ability to learn new software rapidly and a "test-and-learn" approach to problem-solving.
• A bachelor’s degree or equivalent related working experience is required

You are

• A Collaborative Problem-Solver: You thrive in global, cross-functional environments and use data to prioritize what matters most.
• An AI Explorer: You are an agile experimenter who prioritizes rapid prototyping and iteration. You view unsuccessful AI trials as essential data points and move quickly to refine and improve solutions.
• A Clear Communicator: You can explain complex technical concepts to non-technical stakeholders with ease.
• Methodical yet Adaptable: You can manage multiple workstreams without losing sight of the "big picture" product goals.

Measures of success

• Within your first month, you will complete onboarding and integrate into the Data Governance pillar.
• Within your third month, you will become a certified Data Steward and gain fluency in Collibra’s configuration capabilities while building relationships with Scrum teams.
• Within your sixth month, you will become a certified Collibra Ranger and serve as the go-to partner for Product Managers to launch new content and capabilities.

Senior Customer Engineer, Deasy Labs

As a Senior Customer Engineer at Deasy Labs, you will work directly with customers to design and demonstrate solutions using the Deasy Labs platform. You will partner with sales, product, and engineering teams to help organizations turn unstructured data into AI-ready knowledge.

In this role, you will lead technical discovery, deliver product demonstrations and proof-of-concepts, and guide customers in applying Deasy Labs to solve complex data and AI challenges.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

About Deasy Labs

Deasy Labs, part of Collibra, develops technology that automatically discovers, enriches, and maintains the semantic context inside unstructured data.

Enterprise knowledge often lives in documents, PDFs, reports, and transcripts that traditional data systems cannot easily organize or govern. The Deasy platform analyzes that content and generates structured metadata, taxonomies, and relationships that allow AI systems to retrieve the right information with accuracy and control.

Senior Customer Engineers at Deasy Labs are responsible for

• Partner with Account Executives to support the technical aspects of the sales cycle
• Lead technical discovery conversations with customers to understand their data, AI, and business challenges
• Design and deliver compelling technical demonstrations, workshops, and proof-of-concepts
• Translate customer requirements into solution architectures using the Deasy Labs platform and the broader Collibra ecosystem
• Guide customers in applying Deasy Labs to organize and enrich unstructured data for AI and analytics use cases
• Serve as a trusted technical advisor to customers throughout the evaluation and adoption process
• Collaborate with product and engineering teams to share customer feedback and influence product direction

You have

• 5+ years in a Customer Engineering, Solutions Engineering, or technical pre-sales role supporting enterprise software
• Familiarity with unstructured data, machine learning, or information retrieval technologies 
• Broad knowledge of data governance, data catalog, data quality, and data privacy platforms required. Experience should include a broad range of disciplines including value-based selling, cost-benefit analysis and ROI analysis, process and project management.
• Broad experience as a Data Management practitioner in the areas of cataloging, integration, data quality, data or enterprise architecture, have set up or participated in governance boards.
• Experience with the leading PaaS providers, Data Lakes, Databases, and Integration platforms.
• A bachelor’s degree or equivalent related working experience
• This position is not eligible for visa sponsorship

You are

• An effective communicator who can explain complex technical concepts clearly to both technical and business audiences
• A sales- and customer-focused self-starter with curiosity, flexibility, and a strong sense of ownership
• A trusted partner to customers, helping them solve complex challenges through thoughtful technical solutions
• A collaborative team player who works effectively across sales, product, and engineering teams to drive outcomes
• Comfortable presenting and sharing expertise with highly skilled technical audiences
• Able to understand customer business needs and identify the technical solutions that support meaningful business outcomes
• Motivated by continuous learning and excited to deepen your understanding of both customer challenges and emerging technologies
• Willing to travel up to 30% within the region

Measures of success

• Within your first month, you will become familiar with Collibra and understand our customer landscape.
• Within your second month, you should confidently conduct discovery with customers and prospects, initial product demonstrations, and be able to present solutions aligned to customer value.
• Within your third month, you will become a voice for Collibra within your accounts and for your accounts back within Collibra - educating external and internal stakeholders on features, roadmap, and new use cases.

Joining Collibra’s Unstructured AI Team

• Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.
• Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments.
• Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types).
• Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives.
• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Senior AI Engineer at Collibra are responsible for

• Shipping complex systems under ambiguity - balancing speed and precision in real environments.
• Writing and reviewing production-grade code across backend (Python, FastAPI).
• Building/deploying document-processing systems that handle large-scale, unstructured data environments.
• Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs) to provide context for AI features.
• Partnering across engineering, product, and sales teams, ensuring alignment from prototype to rollout.
• Occasionally working with modern frontend development.

You have

• Strong proficiency in Python (data processing, API development, and integrations).
• Hands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection).
• Proven ability to deliver production-grade systems using Big Data frameworks (e.g., Spark) to handle data at scale.
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience ingesting and processing data from third-party enterprise sources (e.g., SharePoint/OneDrive, Salesforce, and SaaS-based knowledge bases).
• Strong communication skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.
• Familiarity with metadata systems, data cataloging, or document AI workflows.
• Knowledge of model evaluation best practices.
• Experience with search relevance.
• A bachelor’s degree or equivalent related working experience is required.
• You must have work authorization to work in Brussels. 

You Are

• Calm, structured decision-making under tight timelines or ambiguity.
• Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
• Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
• Someone who cares deeply about data quality, precision, and governance.
• Strong communication and stakeholder-management skills across technical and business teams.

Measures of Success

• Within your first month, you will develop a deep understanding of our product vision and the unstructured data stack that powers it, shipping your first set of end-to-end features.
• Within your third month, you will take full ownership of technical delivery for key product areas, building robust capabilities that handle complex document processing and ensure a stable, high-performance experience for users interacting with diverse data sources.
• Within your sixth month, you will drive the development of ambitious, enterprise-grade AI product features that solve for data at scale, architecting the high-performance pipelines and advanced context engineering required to deliver accurate, reliable results.

Joining Collibra’s Unstructured AI Team

We’re shaping the way some of the largest organizations in the world manage data by helping customers connect the right data and insights for all Data Citizens. We are building a team of exceptional people to help us deliver on that promise. As a Deployed Engineer, you are the guiding force behind bringing Collibra's product and vision to customers and prospects. Engineers establish knowledgeable and trusted relationships from day one and serve as thoughtful technical advisors.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Forward Deployed Engineer at Collibra are responsible for

• Own end-to-end technical delivery of Unstructured AI deployments — from first prototype to stable production across enterprise environments.
• Build and scale full-stack systems that process and enrich large volumes of unstructured content (PDFs, contracts, reports, and other document types).
• Embed closely with customer and field teams to understand their metadata, governance, and security needs - guiding how Unstructured AI integrates into their broader Collibra stack.
• Scope work, sequence delivery, and remove blockers early to ensure fast iteration cycles between product, research, and deployment teams.
• Balance scope, speed, and quality - making clear trade-offs to keep pilots moving and convert them into production rollouts.
• Codify repeatable patterns from customer projects into reusable connectors, enrichment modules, or playbooks that accelerate future deployments.
• Feed field insights back to Product and Research, identifying opportunities to improve product experience.
• Keep cross-functional teams aligned through clear communication, prioritization, and follow-through.

You have

• Shipped complex systems under ambiguity - balancing speed and precision in real customer environments.
• Written and reviewed production-grade code across backend (Python, FastAPI).
• Built or deployed document-processing systems and are comfortable with CI/CD, monitoring, and debugging tools.
• 2+ years of software engineering or technical deployment experience,  ideally involving enterprise integrations, AI data processing, or customer-facing delivery.
• Strong proficiency in Python (data processing, API development, and integrations).
• Proven ability to deliver production-grade systems that process large-scale unstructured data (PDFs, text, documents).
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform) and containerization (Docker / Kubernetes).
• Experience with LLM-based or AI-driven enrichment models (classification, extraction, deduplication, PII detection).
• Familiar with metadata systems, data cataloging, or document AI workflows.
• Background in data governance, sensitive data detection, or enterprise integrations (Collibra, Databricks, Snowflake, etc.).
• A track record of codifying repeatable deployment patterns into tools, SDKs, or frameworks.
• Knowledge of security, compliance, and model evaluation best practices.
• A bachelor's degree in a technical field or equivalent related working experience.
• You must have work authorization to work in Brussels.

You are

• Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
• Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
• Someone who cares deeply about data quality, precision, and governance.
• Willing to gain hands-on experience with modern frontend development.
• Able to translate customer requirements into technical plans and deliver end-to-end.
• Strong communication and stakeholder-management skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.

Measures of Success

Within your first month, you will…

• Develop a deep understanding of how enterprises manage and transform unstructured data, including document pipelines, metadata systems, and retrieval architectures.
• Partner closely with former YC founders and senior product leadership to see how we run a fast, startup-style execution motion inside a scaled organization. You will then ship your first end-to-end feature across the stack (backend, infrastructure, and UI), directly improving the product used by real customers.

Within your third month, you will…

• Deploy the product and your features in multiple Fortune 500 customer environments, often working inside the customer’s cloud and data perimeter. You will serve as the connective tissue between GTM, Product, Engineering, and Customer teams, translating customer feedback into product direction and execution plans.

Within your sixth month, you will…

• Become an expert in context engineering, designing how data, metadata, and domain knowledge flow into AI systems to maximize reliability, relevance, and decision quality.
• Independently lead complex deployments, transforming unstructured and structured data to support AI-driven decision making at enterprise scale. You will use the Unstructured AI platform to build enterprise-grade AI products within customer environments, shaping how AI agents reason over real-world data.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• You must have work authorization to work in Brussels, Belgium
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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: Build the Foundation of AI and Data Transformation

Are you an experienced Data Engineer with a passion for building high-performance data pipelines and scalable cloud architectures for the Generative AI era? Artefact Belgium is looking for a Data Engineer to drive innovation and deliver robust data foundations for our global clients. If you have a solid track record in data engineering and consulting, we invite you to shape the future of AI-driven solutions with us in Brussels.

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 engineering team in Belgium works on the most advanced applications of data technology, from large-scale data platforms to supporting state-of-the-art GenAI projects. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Data Engineer in our GenAI practice, you will own the end-to-end execution of complex technical challenges. You won't just "move" data; you will build the specialized infrastructure and data flywheels that power the next generation of Generative AI, RAG systems, and autonomous agents.

• Deploy GenAI-Ready Production Pipelines: Design and deploy advanced data pipelines both batch and streaming optimized for processing unstructured data (text, images, audio) to fuel LLM fine-tuning and retrieval-augmented generation.
• Build Scalable AI Platforms & Vector DBs: Hands-on development using modern cloud platforms like Databricks, Azure, or AWS.
• Establish Engineering Excellence for LLMs: Implement best practices in data transformation (dbt), orchestration (Airflow, Prefect, or Dagster), and data governance to ensure that AI solutions are reliable, safe, and compliant at enterprise scale.
• Collaborate on AI Innovation: Work closely with Machine Learning Engineers and Generative AI Specialists to design data models and "data-as-a-service" layers that enable rapid prototyping and scaling of AI agents.
• Software Engineering Foundation: Advocate for clean, maintainable code using Python, SQL, and Git, and leverage containerization (Docker/Kubernetes) to deploy AI-driven microservices.

Who You Are

• Experienced Professional: At least 3-5 years of industry experience in data engineering, ideally within a consulting environment, with exposure to data preparation for AI/ML.
• Deep Technical Skillset: Strong programming skills in Python and proven expertise in Spark (PySpark, SparkSQL) for large-scale data processing and feature engineering.
• Data Transformation Expert: Extensive experience with dbt for data modeling, and a strong curiosity about emerging patterns in "LLMOps" and vector data management.
• Consulting Mindset: Proven ability to navigate multidisciplinary environments and communicate how high-quality data architecture is the primary bottleneck for successful GenAI deployment.
• Education: A Master’s in a quantitative field (Computer Science, Engineering, Mathematics, or a related field).
• Linguistic Versatility: Proficiency in English is required; fluency in Dutch or French is a major advantage for our Belgian market.

What We Offer

• Competitive Compensation: An attractive package aligned with your expertise, including a mobility budget or company car and premium insurance.
• High-Impact Opportunities: Work with state-of-the-art technologies on global projects that transform the world's leading brands through Generative AI.
• Professional Growth: Access to a substantial training budget for individual learning, research into new AI frameworks, and certifications.
• A Collaborative Workplace: Join a diverse team where fun and professional excellence go hand-in-hand, with access to 2,000+ colleagues across 34 global offices.

This position is based in Brussels,  At Artefact Belgium, we value expertise, curiosity, and a drive to innovate. If you're ready to build the data engines of the AI future, 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.

Join Effixis, an Artefact Company: Shape the Future of Generative AI and Large Language Models (LLMs)

Are you passionate about generative AI and excited by the potential of Large Language Models ? Effixis, an Artefact company, is seeking an LLM Engineer Intern to join our innovative team. If you've already explored the world of LLMs or have a strong interest in generative AI, this is your chance to contribute to cutting-edge projects and gain hands-on experience in a dynamic, forward-thinking environment.

Who You Are

• A student or recent graduate with experience experimenting with LLMs or a strong interest in generative AI and NLP.
• Enthusiastic about applying theoretical knowledge to real-world challenges in AI.
• Able to thrive in both collaborative and independent projects.
• Eager to learn, adapt, and grow in a fast-paced, innovative setting.

Who We Are

Effixis is part of the Artefact Group, a leading Data & AI consulting firm operating at the forefront of NLP and LLM-driven innovation. With offices worldwide, we help clients across industries, including public health, manufacturing, and media, harness the power of generative AI. At Artefact, we value innovation, collaboration, and continuous learning, and we are committed to fostering an inclusive and supportive workplace.

What You Will Do

• Collaborate with our data science team to experiment with LLMs and explore innovative generative AI use cases.
• Contribute to the development and optimization of NLP and LLM-powered tools and products.
• Assist in deploying and maintaining AI systems, including models, APIs, and related infrastructure.
• Participate in brainstorming sessions and technical decision-making to shape cutting-edge solutions.

What You Bring

• Hands-on experience with LLMs or a strong interest in generative AI.
• Currently pursuing or holding a degree in computer science, mathematics, physics, or a related field.
• Familiarity with Python and a willingness to learn NLP and AI frameworks (e.g., Hugging Face, OpenAI, Cohere).
• Strong analytical and problem-solving skills.
• Good communication skills in English or French (other languages are a plus).

What We Offer

• Competitive internship compensation.
• A chance to work with state-of-the-art LLM technology and contribute to groundbreaking projects.
• A dynamic, supportive work environment that values creativity and professional growth.
• Dedicated resources for training and development.

This position is based in Brussels.

Don’t worry if you don’t meet all the criteria! We value motivation and potential above all else. We’d love to hear from you and learn more about your passion for generative AI.

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.

Ben jij een Django Developer met een sterke ondernemersgeest? 🚀

De software engineer zal een bestaande team van een vijf personen integreren bezig met de ontwikkeling van een python-applicatie in Django om de operationele noden te ondersteunen. Day-to-day zal het werk over de ontwikkeling van nieuwe features en het onderhouden van de bestaande features. Het hele project wordt ontwikkeld met behulp van Agile-methoden en is volledig on-premise. We vragen een aanwezigheid van 2 dagen per week op kantoor, in Brussel, goed bereikbaar met het openbaar vervoer. De kandidaat moet een veiligheidsaccreditatie kunnen verkrijgen.  

We zoeken een gedreven en detailgerichte Software engineer met een passie voor het modellen, ontwerpen, ontwikkelen van innovatieve softwarecomponenten en applicaties. Beschikt over ervaring met het development van data-applicaties in Django/FastAPI, en een bewezen staat van dienst in het vertalen van klanten noden naar technische eisen. 

• Front-end development : Expertise in het bouwen en onderhouden van applicaties in React.  
• Back-end development : Diepgaande kennis van Python voor software dev, aantoonbare ervaring met python Django en optioneel maar een plus in .NET.  
• Gegevenskwaliteit en Integriteit: Sterke focus op het waarborgen van de nauwkeurigheid, volledigheid en betrouwbaarheid van gegevens. 
• Probleemoplossend Vermogen: Uitstekende analytische vaardigheden om complexe technische uitdagingen op te lossen en data-driven oplossingen te leveren.  
• Plus: web servers Nginx or Apache.  

Ben jij een Senior / Lead Data Engineer met een sterke ondernemersgeest? 🚀

Als Data Engineer help je ons bij het implementeren van de data lake om milieugegevens te verzamelen, verwerken en opslaan van diverse sites.

• Schaalbare datapijplijnen ontwikkelt en onderhoudt met behulp van Azure Databricks.
• Samenwerkt met business data-analisten om databehoeften te begrijpen en oplossingen aan te leveren.
• Dataintegratie- en transformatieprocessen implementeert vanuit diverse bronnen, waaronder REST API's.
• Datastromen optimaliseert en problemen oplost met het oog op performantie en betrouwbaarheid.
• Zorgt voor datakwaliteit en consistentie over verschillende gestructureerde en ongestructureerde databronnen.
• Op de hoogte blijft van de nieuwste trends en best practices binnen data engineering, Databricks en dataintegratietechnologieën.

• Aantoonbare ervaring als Data Engineer met sterke focus op Azure Databricks en aanverwante technologieën binnen het Microsoft data-ecosysteem.
• Bekend met de lakehouse medallion architecture.
• Vaardig in SQL, Python en Apache Spark.
• Grondige kennis van REST API’s, inclusief hoe deze op een veilige en efficiënte manier te consumeren (bijvoorbeeld via Python/Databricks notebooks); ervaring met het binnenhalen en transformeren van JSON/XML-data vanuit web API’s is een grote plus.
• Ervaring met datamanagement & governance via Unity Catalog is een pluspunt.
• Bereidheid en kennis om zelf (technische) rapporten in Power BI op te bouwen.
• Documenteren van je werk is voor jou vanzelfsprekend tijdens analyses en ontwikkelactiviteiten (bijvoorbeeld in Wiki, DevOps, …).
• Je spreekt vlot Engels. Andere Europese talen zoals Frans, Nederlands of Spaans zijn een pluspunt.

Klaar om een verschil te maken? Laten we alvast even kort kennismaken! 🙌