Forward Deployed AI Engineer (Madrid)

Forward Deployed AI Engineer (Madrid)

04 ago
|
Tamarind Intelligence
|
Madrid

04 ago

Tamarind Intelligence

Madrid

ph3Forward Deployed AI Engineer /h3pbLocation: /b Madrid, Spain (Hybrid - versátil) /ppbContract type: /b Employee / contract /ppbTarget start date: /b September 2026 /ppbWorking hours: /b Full-time (40h/week) /ppbCompensation: /b €70k–€85k per year /ppAs a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into operational, measurable results in weeks rather than months. This is an experienced individual‑contributor role that blends hands‑on engineering, architectural judgment, and business understanding. /ph3Responsibilities /h3ullibCo‑create solutions with business and technical stakeholders /b through workshops, rapid iterations, and hands‑on delivery. /lilibLocate, qualify, and secure access to the data required for each use case /b, working directly with Data Engineers. /lilibTranslate use cases into production‑ready GenAI and agentic AI solutions /b, including RAG architectures, intelligent assistants, and AI‑enabled workflows. /lilibPrototype, test, deploy, monitor, and improve solutions /b in real client environments using feedback from users and domain experts. /liliCollaborate with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes. /liliBalance speed, quality, cost, security, and maintainability while making clear technical and delivery trade‑offs. /lilibDefine success criteria from the outset /b, including adoption, performance, reliability, risk, cost, and measurable business value. /liliEnsure solutions are documented, governed,



and transferable so clients can operate them with confidence. /liliTurn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements. /li /ulh3Qualifications Experience /h3ulli5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting. /liliHands‑on experience delivering AI, GenAI, or software solutions into production. /liliExperience working directly with clients or in complex stakeholder environments. /liliEvidence of turning complex use cases into adopted, measurable solutions. /liliA degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience. /liliAbility to work effectively in multidisciplinary environments. /liliProfessional proficiency in English. /li /ulh3Technical Professional Skills /h3ulliStrong Python development skills, API integration experience, and modern software‑engineering practices. /liliHands‑on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection. /liliExperience with RAG, embeddings, vector search, AI agents, and agentic workflows. /liliFamiliarity with frameworks such as LangChain, LlamaIndex,



LangGraph, Semantic Kernel, AutoGen, or comparable tools. /liliExperience integrating AI into enterprise systems, APIs, and business workflows. /liliExperience with at least one major cloud platform: Azure, AWS, or GCP. /liliWorking knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation. /liliUnderstanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles. /li /ulh3Nice to Have /h3ulliExperience in consulting or client‑facing environments. /liliExperience with multimodal models, fine‑tuning, model adaptation, or open‑source LLMs. /liliFront‑end or full‑stack development experience, e.g., Node.js or React. /liliExposure to regulated industries or enterprise governance requirements. /li /ulh3Benefits /h3ulliCompetitive salary paid in 14 instalments (option for 12 from day one). /liliAnnual performance bonus. /liliMeal allowance (€1,800/year net, distributed over 11 monthly reloads). /liliFlexible retribution plan: transport and daycare tickets. /liliPrivate medical insurance with Sanitas (no copays, dental included). /lili22 days of annual leave, increasing every 3 years up to 26 days. /lili14 public holidays (Madrid calendar). /liliContinuous learning via Keyrus Learning Experience (KLX). /li /ulh3Equal Opportunity Statement /h3pWe 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)
🏢 Tamarind Intelligence
📍 Madrid

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