ph3Role Overview /h3 /brpbForward Deployed AI Engineer /b – a forward‑deployed, hands‑on engineering role delivering AI solutions within weeks. The role combines architecture, engineering and business‑understanding to own the problem from ambiguity to execution. /p /br /brh3Location Contract /h3 /brpMadrid, Spain (Hybrid – adaptable) /p /brpEmployee / contract /p /brpFull‑time (40 hours/week) /p /brpTarget start date: September 2026 /p /brpCompensation: €70k–€85k per year /p /br /brh3Responsibilities /h3 /brul /brliCo‑create solutions with business and technical stakeholders through workshops, rapid iterations, and hands‑on delivery. /li /brliLocate, qualify, and secure access to the data required for each use case, working directly with Data Engineers. /li /brliTranslate use cases into production‑ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI‑enabled workflows. /li /brliPrototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts. /li /brliWork with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes. /li /brliBalance speed, quality, cost, security, and maintainability while making clear technical and delivery trade‑offs. /li /brliDefine success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value. /li /brliEnsure solutions are documented, governed, and transferable so clients can operate them with confidence. /li /brliTurn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements. /li /br /ul /br /brh3Who You Are /h3 /brul /brliHands‑on engineer who thinks like an architect and acts like a builder. /li /brliCommunicates clearly with both technical teams and senior business stakeholders. /li /brliSolves operational challenges, not only exploring technical concepts. /li /brliNavigates ambiguity with confidence, validates assumptions, and adapts quickly. /li /brliTakes ownership of outcomes and raises risks or changing priorities early. /li /brliUnderstands that AI value depends on the full system: data, workflows, governance, adoption, and measurement. /li /brliSeeks reusable, improvable, and scalable solutions.



/li /br /ul /br /brh3Qualifications Experience /h3 /brul /brli5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting. /li /brliHands‑on experience delivering AI, GenAI, or software solutions into production. /li /brliExperience working directly with clients or in complex stakeholder environments. /li /brliEvidence of turning complex use cases into adopted, measurable solutions. /li /brliA degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience. /li /brliAbility to work effectively in multidisciplinary environments. /li /brliProfessional proficiency in English. /li /br /ul /br /brh3Technical Professional Skills /h3 /brul /brliStrong Python development skills, API integration experience, and modern software‑engineering practices. /li /brliHands‑on experience with Large Language Models (LLMs), GenAI architectures, prompt workflows, and model/provider selection. /li /brliExperience with RAG, embeddings, vector search, AI agents, and agentic workflows. /li /brliFamiliarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools. /li /brliExperience integrating AI into enterprise systems, APIs, and business workflows. /li /brliExperience with at least one major cloud platform: Azure, AWS, or GCP. /li /brliWorking knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation. /li /brliUnderstanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles. /li /br /ul /br /brh3Nice to Have /h3 /brul /brliExperience in consulting or client‑facing environments. /li /brliExperience with multimodal models, fine‑tuning, model adaptation, or open‑source LLMs. /li /brliFront‑end or full‑stack development experience, for example, Node.js or React. /li /brliConsulting or professional‑services experience. /li /brliExposure to regulated industries or enterprise governance requirements. /li /br /ul /br /brh3Success Criteria /h3 /brul /brliCombines technical credibility,



pragmatism, and end‑to‑end ownership. /li /brliFocuses on real‑world outcomes, adoption, and measurable value—not only the solution itself. /li /brliMoves quickly while balancing speed, quality, cost, and risk. /li /brliBuilds trust and becomes a reliable partner in complex client environments. /li /brliOperates effectively under pressure where progress and results are continuously visible. /li /brliKnows when to dive deep technically and when to orchestrate the right expertise. /li /brliContinuously improves, reuses, and scales what works across engagements. /li /br /ul /br /brh3What We Offer /h3 /brul /brliCompetitive salary, paid in 14 instalments (or 12 from day one). /li /brliAnnual performance bonus. /li /brliMeal allowance (Restaurant Tickets): €1,800/year net, distributed over 11 monthly reloads. /li /brliFlexible retribution plan: transport daycare tickets. /li /brliPrivate medical insurance with Sanitas (no copays, dental included). /li /brli22 days of annual leave, increasing every 3 years (up to 26 days). /li /brli14 public holidays (Madrid calendar). /li /brliDecember 24th and 31st considered company holidays when they fall on working days. /li /brliContinuous learning via KLX – Keyrus Learning Experience. /li /brliA collaborative, international, and human‑centred work environment. /li /br /ul /br /brh3Salary Ranges /h3 /brpSalary ranges reflect different levels of mastery and impact within the same role. /p /brul /brliBottom of the range – You meet the core requirements and will need ramp‑up time and support. /li /brliMiddle of the range – You are fully autonomous from Day 1 and deliver consistently. /li /brliTop of the range – You are a reference for the role, mentor others, and raise the bar for the team. /li /br /ul /br /brh3Recruitment Responsible AI /h3 /brpAll stages of the recruitment process are conducted by human recruiters and interviewers. AI may be used internally for note‑taking during interviews, but is never used to make decisions. Candidates are strictly prohibited from using AI tools during the recruitment process. /p /br /brh3Equal Opportunity Statement /h3 /brpWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic. /p /p #J-18808-Ljbffr

📌 Forward Deployed AI Engineer (Madrid)
🏢 Keyrus
📍 Madrid