SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries , supported by a team of over 100,000 dedicated professionals . With more than 145 years of service excellence , we combine the precision and accuracy that define Swiss companies to help organizations achieve t he highest standards of quality, compliance and sustainability.
Our brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability , enabling businesses to thrive with confidence . We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands , including Applied Technical Services , Brightsight , Bluesign and Nutrasource .
Job Description
As part of the Architecture, Intelligence & Technology (AI&T;) team , this role plays a key part in shaping and delivering Finance transformation initiatives through the development of innovative digital and AI-driven solutions.
The Senior Full Stack & AI Engineer will contribute to the configuration and delivery of a newly established squad focused on Finance transformation, supporting the modernization of processes and ways of working across the Global Finance function.
This is a hands-on technical role responsible for the end-to-end development of applications and AI-enabled solutions, including front-end, backend, cloud, DevOps, and AI/LLM integrations. The role will work closely with business stakeholders, architects, and cross-functional teams to deliver scalable, secure,
and business-aligned technology solutions.
Responsibilities
- Develop full stack applications using .NET / Python and React, Vue, or Angular
- Design, develop, and integrate REST APIs
- Develop and support AI/LLM-based solutions using Azure OpenAI, AI Foundry, and related technologies
- Implement Retrieval-Augmented Generation (RAG) solutions and vector-based search capabilities
- Build document ingestion and vector indexing pipelines
- Utilize OCR and Document Intelligence technologies for document processing automation
- Manage CI/CD pipelines, deployments, and DevOps activities
- Collaborate with architects, product owners, and business stakeholders to define technical solutions
- Ensure solution scalability, maintainability, security, and performance
- Support agile delivery practices and continuous improvement initiatives
- Contribute to technical design discussions and problem-solving activities within the squad
- Provide ongoing support, maintenance, monitoring, and enhancement of AI-enabled business applications in production environments
- Contribute to identity and governance-related solutions leveraging Microsoft Entra ID and related technologies
Qualifications
- 5+ years of experience in full-stack software engineering and cloud technologies
- 1–2 years of hands-on experience with LLM/RAG solutions and AI-enabled applications
- Proven experience delivering end-to-end technical solutions across front-end, backend, cloud, and DevOps environments
- Experience working within agile delivery environments and cross-functional general teams
- Strong communication and stakeholder engagement skills
- Focused on delivering high-quality user experiences and business value
- Fluent in English, with the ability to operate effectively in multicultural environments
Required Skills:
- Full stack development ( C#, .NET, Python, React, TypeScript, Vue, Angular )
- REST API design and integration
- Azure Web Apps, Azure SQL, and Microsoft Entra ID
- Cloud platforms and DevOps practices
- Azure DevOps, CI/CD pipeline management and deployments
- Azure OpenAI and AI Foundry
- OCR and Document Intelligence technologies
- Vector indexing and document ingestion
- Agile methodologies and collaborative delivery
- Problem-solving and analytical thinking
- Stakeholder communication and cross-functional collaboration
Additional Information
Why SGS?
- Join a globally recognized and stable company, a leader in the Testing, Inspection, and Certification (TIC) industry.
- Enjoy a flexible schedule and a hybrid work model.
- Access continuous learning opportunities through SGS University and Campus.
- Collaborate in a multinational environment with colleagues from various continents.
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📌 Senior Full Stack & AI Engineer (Madrid)
🏢 SGS
📍 Madrid