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Senior Full Stack & AI Engineer
Senior Full Stack & AI Engineer
Requirements
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 global 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 (.NET, Python, React, Vue, Angular)
- REST API design and integration
- Cloud platforms and DevOps practices
- CI/CD pipeline management and deployments
- LLM/RAG solution development
- 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
Benefits
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.
Apply Now:
At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to join our motivated and dynamic team!
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Company Description
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 the 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
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