Location: Sheffield

About the Job you are considering:

Seeking a GenAI Engineer with strong Handson experience in building end-to-end AI applications The role requires integrating data from multiple systems extracting and parsing information from documents and images interacting with structured databases storing parsed content in a vector database and implementing robust retrieval pipelines The engineer must also ensure solution quality through evaluation frameworks ground truth validation and defined performance metrics

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Key Responsibilities:

• Design and build Gen AIRAG based application using data from multiple enterprise systems
• Integrate with structured and unstructured data sources including databases APIs files and document repositories
• Develop pipelines to parse and extract data from documents and images using OCR document intelligence and related tools
• Process and structure extracted content for downstream AI use cases
• Store parsed and chunked content in a vector database and manage embeddings effectively
• Implement and optimize retrieval pipelines including chunking indexing metadata tagging filtering and reranking
• Build workflows to interact with relational and enterprise databases for querying and enrichment
• Ensure the application follows strong evaluation practices including accuracy grounded Ness relevance hallucination checks and response quality against ground truth
• Work closely with architects platform teams and business stakeholders to deliver scalable and secure solutions

Required Skills and Experience

• strong experience in AIML engineering with Handson exposure to Generative AI use cases
• Experience in building RAG applications in enterprise environments
• Strong knowledge of document parsing OCR and image-based data extraction
• Experience with LLM orchestration frameworks and prompt design
• Experience with vector data bases and semantic search
• Very Strong programming skills in Python
• Experience working with SQL NoSQL data bases and enterprise data integration patterns
• Understanding of evaluation frame works for GenAI systems using benchmark datasets and ground truth-based validation
• Experience in building scalable API services and production grade AI workflows

Preferred Skills

• Experience with Azure based AI stack

• Experience with high volume document processing
• Familiarity with enterprise architecture security and compliance controls
• Exposure to monitoring model evaluation and AI observability tools

Follow enterprise standards for security governance observability and performance

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Governments Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a disability, and
• Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

• Youd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
  To help support wellbeing we have trained ‘Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• You will be empowered to explore, innovate, and progress. You will benefit from Capgeminis ‘learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• You will be joining one of the Worlds Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, youll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, youll build the skills you want. Youll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com