AI Staff Software Engineer - Wizeline
hace 3 días
Seville
We are: Wizeline, a global AI-centric technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Responsibilities: • Acting as the technical and client-facing lead of the AI Impact Squad., • Building trusted relationships with engineering teams, business stakeholders and subject-matter experts., • Proactively identifying problems and opportunities rather than waiting for fully defined requirements., • Leading discovery to understand business processes, user needs, technical systems, operational constraints and risk considerations., • Translating ambiguous business problems into clear technical hypotheses, solution options and delivery plans., • Determining when AI is appropriate, when conventional software is more suitable and when a combined approach is required., • Providing technical direction, delivery structure and day-to-day support to the L4 engineer., • Remaining hands-on across architecture, prototyping, implementation, integration, testing and production rollout., • Connecting technical delivery to measurable business, operational or engineering outcomes., • Communicating clearly with both technical and non-technical stakeholders throughout the engagement., • Conduct workshops, interviews and working sessions with stakeholders and SMEs to understand how existing processes and systems operate., • Identify bottlenecks, repetitive work, decision points and opportunities where software or AI could create meaningful impact., • Convert loosely defined challenges into clear problem statements, hypotheses, use cases and success criteria., • Explore the problem before committing to a solution, including validating assumptions, analysing workflows and understanding available data and systems., • Design and build production-grade applications, services and workflows that incorporate LLMs, agents, retrieval, automation or conventional software components., • Build rapid prototypes to validate feasibility, user value and technical risk before scaling., • Define the architecture, interfaces, integration approach and engineering standards for each initiative. Must-have Skills To be successful in this role, you must have: • Strong professional experience as a software engineer, including the design and delivery of production systems., • Hands-on experience building applications or workflows using LLMs, generative AI or agentic systems., • Strong software engineering fundamentals, including system design, APIs, testing, observability, security and maintainability., • Experience working directly with stakeholders, users or clients to understand problems and shape solutions., • Ability to operate effectively when requirements are incomplete, unclear or still evolving., • Strong product and business judgement, with the ability to connect technical decisions to user and organisational outcomes., • Ability to independently lead discovery, define scope and drive an initiative from an initial idea through production delivery., • Experience designing and integrating AI-enabled capabilities into existing software platforms and business workflows., • Practical understanding of LLM evaluation, prompt and context design, retrieval, tool use, agents, guardrails and human-in-the-loop workflows., • Ability to assess whether AI is the right solution rather than applying it by default., • Experience leading or mentoring other engineers and providing technical direction within a small team., • Strong communication skills and the ability to explain technical concepts, trade-offs and risks to non-technical stakeholders., • Comfortable challenging assumptions, influencing decisions and creating structure within ambiguous environments., • Outcome-driven and pragmatic, with a preference for delivering useful working systems over producing theoretical recommendations. Nice to have: • Experience in banking, payments, fintech or another regulated environment is highly valuable., • Exposure to Azure, .NET or Azure DevOps is advantageous but is not a hard requirement. What we offer: • Competitive compensation & total rewards, • Health benefits & wellness programs, • Savings & retirement plans, • Global mobility opportunities, • Flexible work policy and remote-friendly approach, • Happy hours, gaming tournaments, sports activities & more, • Continuous learning & training programs with WizeAcademy, • Free certifications in cloud technologies and coding languages Find out more about our culture here.
