Interactive AI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.We are building the next generation of enterprise AI solutions, delivering an innovative, scalable, and compliant agentic AI infrastructure to businesses across industries. Our platform allows organisations to build, own, and scale AI that learns from every interaction.We value autonomy, speed, and innovation and are building a world-class team to match. Our squads are lean, focused, and execution-driven. If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes, this is for you.What You’ll DoAs aLead AI Engineerat Interactive AI, you’ll operate as the Chief of AI’s right hand, driving the technical direction of our AI stack, accelerating new use cases, and guiding the development of advanced Gen AI capabilities across the platform.You’ll take ownership of the design, development, and deployment of cutting‑edge models, agentic architectures, and fine‑tuning workflows. You will lead experimentation efforts, influence architecture decisions, mentor engineers, and ensure our AI systems are scalable, reliable, and aligned with enterprise requirements.You’ll work in a cross‑functional squad while also contributing to org‑wide AI standards, frameworks, and best practices.Build and maintain scalable pipelines for structured/unstructured data ingestion, transformation, and feature engineeringLead the deployment of ML models and LLMs into production, ensuring performance, reliability, and traceabilityArchitect and oversee fine‑tuning pipelines for LLMs with versioned checkpoints, evaluation suites, and experiment trackingDesign and implement automated evaluation frameworks (A/B testing, LLM‑as‑judge, validation suites) and monitoring dashboards to track latency, accuracy, drift, and trigger retraining or alertsGuide feature engineering, imputation, and transformation strategies in complex, real‑world scenariosImplement and optimize retrieval‑augmented generation (RAG)



workflows, vector search approaches, and knowledge‑grounding strategiesLead the development of enterprise‑grade agentic workflows, tooling integrations, and agent evaluation methodsOptimize inference speed, memory usage, and cost for high‑throughput systems across the platformOwn reliability and performance of models in production, solving challenges around latency, accuracy, drift, and scalingCollaborate with product and delivery teams to ship client‑ready, measurable outcomes and accelerate new AI‑driven featuresWhat We’re Looking ForWe’re looking for atop‑tier AI engineerwith strong foundations, proven delivery, and the leadership abilities required to build production‑ready, enterprise‑grade AI systems. You should be equally capable of executing hands‑on and guiding the strategic evolution of our platform.5+ years in data engineering, ML engineering, applied AI, or similar deep technical rolesExperience deploying ML models and LLMs to production at scale, with strong inference optimisation skillsHands‑on experience with agent orchestration tools (Lang Graph, Llama Index, or similar)Experience training deep‑learning models and fine‑tuning LLMs using modern frameworksFluent in Python and experienced with at least one major deep learning library (Py Torch, Tensor Flow, JAX, etc.)Strong experience building production‑grade data pipelines (batch or streaming) using tools like Airflow, Spark, DagsterSolid understanding of ML theory (bias‑variance tradeoff, probability, metrics, optimisation, evaluation, etc.)Comfortable with cloud platforms (AWS, GCP, Azure)



and containerised deploymentsExcellent communication skills with proven ability to mentor engineers or lead technical workstreamsAdditional RequirementsExperience with LLMs and RAG pipelines in production environmentsFamiliarity with vector databases, embeddings, and document retrieval strategiesExposure to MLOps practices: model monitoring, reproducibility, CI/CD for ML, automated evaluationsExperience optimizing inference latency, throughput, and cost at scaleExperience working in regulated or enterprise environments (e.G. banking, insurance)Bonus: prior experience in technical leadership roles, architecture ownership, or acting as a technical right‑hand to a CTO/Chief of AIWhat You’ll GetCompetitive base salary (from €110,000/yr to €130,000/yr) + performance bonusesAccess to equity/share plan as it rolls out.Health & wellness allowancesPrivate health insuranceFlexible work setup + travel when needed (ideally Hybrid in Lisbon or Madrid)25 days of holidays/paid time off (excluding local public holidays)Who You AreProactive & Vision‑Driven: You anticipate challenges, propose solutions, and help shape the future of our AI stack.High‑Ownership Leader: You move with accountability, take responsibility for outcomes, and raise the engineering bar.Entrepreneurial & Adaptive: You thrive in ambiguity, operate with speed, and deliver in a high‑paced startup llaborative Mentor: You work across disciplines, guide others, and contribute to a culture of high performance.Interview ProcessWe keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect:Intro Call – 30 minutes with our team to align on fit and expectationsLive Coding Interview Challenge – A practical task based on real‑world problemsCultural and Values Interview – Discussion on motivation, cultural and value alignmentOffer – Final conversation and offerWe’re building a team of builders — people who care about impact, quality, and growth. If that’s you, let’s talk —

📌 Lead Ai Engineer (Madrid)
🏢 InteractiveAI
📍 Madrid