About REalyse REalyse builds the data and intelligence layer for the UK property market. Our platform processes large-scale geospatial, planning, and transactional datasets to power valuation models, portfolio monitoring tools, and AI-driven workflows used by property professionals across the country. We combine modern frontend systems, high-performance backend services, and AI to solve complex real-world problems. This is a high-ownership role This is not a “ticket-driven” engineering role. You will be responsible for owning and delivering product features and systems end-to-end – from idea through to production – across frontend, backend, and infrastructure. Success requires: - Strong fullstack technical ability - Clear product thinking - High ownership and accountability If you prefer clearly defined tasks with limited ambiguity, this is not the role for you. What you’ll do Own and deliver fullstack product features - Design, build, and ship features end-to-end across frontend, backend, and infrastructure - Take ideas from concept → production with minimal hand-holding - Ensure what you ship works in the real product, not just in isolation Think in systems, not just components - Translate product goals into technical solutions - Make pragmatic trade-offs between speed, quality, and scalability - Design solutions that are maintainable and evolve with the product Build production-quality systems - Write clean, reliable, and scalable code across the stack - Improve performance, observability, and reliability of existing systems - Debug and fix issues in live environments Work as a product engineer - Collaborate closely with product, data, and design - Challenge requirements and improve solutions - Think about user impact, not just implementation Use AI as a force multiplier - Use tools like Cursor, Copilot, and LLMs to accelerate delivery - Build and integrate AI-powered features where appropriate - Maintain engineering quality while moving fast Contribute to engineering standards - Raise the quality bar across the codebase - Mentor other engineers where needed - Improve developer experience, tooling, and workflows

About REalyse REalyse builds the data and intelligence layer for the UK property market. Our platform processes large-scale geospatial, planning, and transactional datasets to power valuation models, portfolio monitoring tools, and AI-driven workflows used by property professionals across the country. We combine modern frontend systems, high-performance backend services, and AI to solve complex real-world problems. This is a high-ownership role This is not a “ticket-driven” engineering role. You will be responsible for owning and delivering product features and systems end-to-end – from idea through to production – across frontend, backend, and infrastructure. Success requires: - Strong fullstack technical ability - Clear product thinking - High ownership and accountability If you prefer clearly defined tasks with limited ambiguity, this is not the role for you. What you’ll do Own and deliver fullstack product features - Design, build, and ship features end-to-end across frontend, backend, and infrastructure - Take ideas from concept → production with minimal hand-holding - Ensure what you ship works in the real product, not just in isolation Think in systems, not just components - Translate product goals into technical solutions - Make pragmatic trade-offs between speed, quality, and scalability - Design solutions that are maintainable and evolve with the product Build production-quality systems - Write clean, reliable, and scalable code across the stack - Improve performance, observability, and reliability of existing systems - Debug and fix issues in live environments Work as a product engineer - Collaborate closely with product, data, and design - Challenge requirements and improve solutions - Think about user impact, not just implementation Use AI as a force multiplier - Use tools like Cursor, Copilot, and LLMs to accelerate delivery - Build and integrate AI-powered features where appropriate - Maintain engineering quality while moving fast Contribute to engineering standards - Raise the quality bar across the codebase - Mentor other engineers where needed - Improve developer experience, tooling, and workflows

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Header S-BOM Management Engineer Location:- Chennai, Coimbatore, Bangalore Experience:- 5-10 years Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping leading organizations unlock the value of technology and drive scalable, sustainable growth. Long Description Required Skill Sets: - Proficiency with PLM systems – Windchill, understanding of part creation workflows - Proficiency in BoM Management (structure creation, validation, alternate handling) - Basic experience with SAP (BoM module, Material Master, Change Management workflows) - Understanding of Engineering Change Management process - Knowledge of supplier part management - Good Communication. Good to Have - Good understanding of Wind Turbine components and subsystem structures (beginner level) Scope of Work - Create and Maintain Service BOM (SBOM) with its structure and its specifications - Handle CN requests through Change Management and PTC Windchill - Deliver clean and quality SBOM by following the guidelines What You’ll Love About Working Here We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance. Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence. You’ll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI. Footer About Us At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

• Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes) • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI) • Ship with full-stack and DevOps depth: Python, Node.js/Go , React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production • Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains • Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements • Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements • Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.