Senior Full Stack & AI Engineer

Posted 4 Days Ago
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Madrid, Comunidad de Madrid, ESP
Hybrid
Senior level
Information Technology • Professional Services • Security • Consulting
The Role
Develops end-to-end full-stack applications and AI-enabled solutions for Finance transformation. Responsibilities include building .NET, Python, and frontend applications; designing REST APIs; implementing Azure OpenAI, RAG, vector search, OCR, and document processing solutions; managing Azure cloud, DevOps, CI/CD, deployments, monitoring, and production support; and collaborating with architects, stakeholders, and global agile teams.
Summary Generated by Built In
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
  • 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 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 (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
  • 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

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!

Skills Required

  • 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
  • Experience delivering end-to-end technical solutions across front-end, backend, cloud, and DevOps environments
  • Experience working in agile delivery environments and cross-functional global teams
  • Strong communication and stakeholder engagement skills
  • Fluent English and ability to operate effectively in multicultural environments
  • Experience with C#, .NET, Python, React, TypeScript, Vue, and Angular
  • Experience with REST API design and integration
  • Experience with Azure Web Apps, Azure SQL, and Microsoft Entra ID
  • Experience with cloud platforms and DevOps practices
  • Experience managing Azure DevOps, CI/CD pipelines, and deployments
  • Experience developing LLM/RAG solutions using Azure OpenAI and AI Foundry
  • Experience with OCR, Document Intelligence, vector indexing, and document ingestion
  • Problem-solving and analytical thinking skills

SGS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SGS and has not been reviewed or approved by SGS.

  • Healthcare Strength Core medical, dental, and vision coverage is part of the U.S. package and is generally viewed as adequate even if not standout. Company information also underscores healthcare coverage as a standard element of the offering.
  • Retirement Support A 401(k) is commonly included in the U.S., and group disclosures reference post‑employment benefit plans in select regions. These components provide a baseline of retirement security beyond core pay.
  • Strong & Reliable Incentives Annual incentive/bonus structures are part of the compensation mix and cited positively in some regions and roles. Punctual pay is also highlighted as a plus.

SGS Insights

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The Company
HQ: Geneva
99,600 Employees
Year Founded: 1878

What We Do

SGS is the world's leading Testing, Inspection, and Certification company, providing quality and safety control services.

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