🇪🇸 Spain · 22h ago
AI Staff Software Engineer
Wizeline
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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 achieveAre 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 rewardsHealth benefits & wellness programsSavings & retirement plansGlobal mobility opportunitiesFlexible work policy and remote-friendly approachHappy hours, gaming tournaments, sports activities & moreContinuous learning & training programs with WizeAcademyFree certifications in cloud technologies and coding languagesFind out more about our culture here.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.