AI Software Engineer (GenAI / LLM)

Description

Job Summary: We are seeking an AI Software Engineer (GenAI / LLM) to design, develop, and deploy AI solutions, working on an international project in the insurance sector. Key Highlights: 1. Be part of a Great Place to Work team 2. Professional development with a customized career plan 3. A collegial and enjoyable work environment Company Description Why work at Sopra Steria? Because working at Sopra Steria also means feeling **Sopra Steria**. We are a recognized European leader in consulting, digital services, and software development, with nearly 56,000 employees across nearly 30 countries—and over 4,000 in Spain. We focus on people—on their training and professional development—which drives our constant growth and improvement. We are passionate about digital technology, and like you, we seek the best adventure possible. We want your everyday experience to become your greatest source of inspiration: learn, contribute, have fun, grow—and above all, enjoy yourself to the fullest. If you want to join a “**Great Place to Work**” team, keep reading! Job Description We are looking for an **AI Software Engineer (GenAI / LLM)** to join our team and participate in an international insurance-sector project. You will be responsible for designing, developing, and deploying AI-based solutions built using Anthropic Claude. Working within cross-functional agile teams, you will design and implement applications that leverage large language models (LLMs) to solve real business problems. Your work will span the entire development lifecycle—from translating business requirements into prompting strategies and system architectures, to deployment, monitoring, and continuous improvement of AI systems in production. You will assume end-to-end ownership of AI functionalities and serve as a key contributor in defining the organization’s best practices for AI engineering. * Collaborate with product owners and agile team members to understand business requirements and translate them into AI-driven solutions. * Evaluate use cases based on Claude’s suitability and design effective prompt architectures, RAG pipelines, and agentic workflows. * Design, implement, and iterate prompts and system instructions to achieve reliable, high-quality model outputs. * Develop and maintain integrations with the Claude API, including multi-turn conversations, tool usage, and structured output generation. * Apply advanced prompting techniques such as chain-of-thought reasoning, few-shot learning, and context management strategies. * Build and deliver production-ready AI applications and services (REST APIs, backend services, AI agents) that integrate Claude into existing or new systems. * Implement retrieval-augmented generation (RAG) architectures, including document ingestion pipelines, vector database management, and semantic search. * Develop tool-use integrations and function-calling capabilities enabling Claude to interact with external systems and APIs. * Ensure robustness via error handling, fallback strategies, output validation, and controlled degradation. * Design and implement evaluation frameworks to measure model performance, accuracy, and consistency across diverse use cases. * Write unit, integration, and end-to-end tests for AI-driven features, including LLM output validation strategies. * Monitor deployed AI systems for quality, latency, cost, and security—and implement alerting and observability tools. * Contribute to CI/CD pipelines for AI applications, including automated evaluation and regression detection. * Apply responsible AI principles in system design—including safety filters, bias assessment, and alignment with Anthropic’s usage policies. Requirements **What do we need?** * 5 years of experience in Software Engineering, with at least 1 year directly using LLM APIs (Claude, OpenAI, or equivalents) in production environments. * Prompt engineering and LLM application development—including system prompt design, context management, tool usage, and multi-turn conversation handling. * Solid software engineering fundamentals: RESTful API development, clean coding practices, version control (Git), and CI/CD pipelines in at least one primary language (preferably Python). * Familiarity with the AI/ML ecosystem: vector databases, embedding models, RAG architectures, and LLM evaluation frameworks. * Responsible AI: understanding of AI safety concepts, output validation, risk mitigation strategies, and considerations for ethical deployment. * Proven ability to take AI features from prototype to production—including performance optimization, monitoring, and iterative improvement. Experience in agile environments and strong communication skills to engage both technical and non-technical stakeholders. * Advanced English (B2+/C1). Additional Information **What do we offer?** * Permanent contract and full-time schedule * 23 vacation days * Flexible hybrid remote work model * Continuous training: technical, transversal, and language skills. Access to certifications, training from leading Technology Partners, online platforms—and much more! * Life and accident insurance * Option to enroll in our flexible compensation plan (medical insurance, childcare vouchers, transportation, meal vouchers, and training) * Access to Privilege Club, offering attractive discounts from leading brands * Personalized and detailed onboarding. We support you every step of the way so you feel \#soprano from day one. * Office featuring dedicated leisure spaces—where work and fun go hand in hand! * Camaraderie and a positive atmosphere—we value the power of unity. And most importantly… You’ll have the opportunity to build your professional career with us: Together, we’ll create a customized career plan. You’ll receive training, set goals, and undergo regular follow-up to ensure we achieve them together. We listen to your priorities—and fight for them. Your voice matters here! Join us and be part of something bigger! **The world is how we shape it** At Sopra Steria, we are committed to building a diverse and inclusive environment, objectively evaluating each candidate based on competencies and experience. We firmly believe that diversity of experience and perspective fuels our innovation.