20 publicaciones de empleo destacadas de lead ai engineer en md (¡Están contratando!)

Lead AI Engineer
InteractiveAI —Madrid, Madrid provincia
- De 110.000 € a 130.000 € al año
- Jornada completa
- Azure
- Máster
- AWS
- Vacaciones pagadas
Solicitud rápida
Lead Full Stack Engineer (AI-first) | Remote (from Europe)
Creatunity LLC —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Grado
- JavaScript
- APIs
- Vacaciones pagadas
Solicitud rápida
12d
System Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team —Madrid, Madrid provincia
- De 81 € a 139 € por hora
- Teletrabajo
- DevOps
- Inteligencia artificial
Solicitud rápida
Lead Workday Integration & AI Engineer
DDN —Madrid, Madrid provincia
- De 60.000 € a 80.000 € al año
- Horas extra
- Trabajo híbrido
- APIs
- Inteligencia artificial
Solicitud rápida
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Desarrollador/a IA (AI/ML Engineer) Junior
Galadrim —Madrid, Madrid provincia
- De 30.000 € a 35.000 € al año
- Jornada completa
- Trabajo híbrido
- Español
- Oficina
- Máster
Solicitud rápida
14d
Senior Infrastructure Optimization Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team —Madrid, Madrid provincia
- De 81 € a 159 € por hora
- Teletrabajo
- Inteligencia artificial
Solicitud rápida
AI Enablement & Tool Registry Lead
Faubourg Mobility —Madrid, Madrid provincia
- De 75.000 € a 114.000 € al año
- Jornada completa
- Teletrabajo
- Inglés
- Inteligencia artificial
Solicitud rápida
12d
Technical AI Engagement Lead
Neurons Lab —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- Máster
- AWS
Lead AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida
AI Lead
JUPUS —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- Máster
- Inteligencia artificial
Solicitud rápida
Applied AI Engineer
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- SQL
- Machine learning
Lead Engineer - Copado Labs
Copado —Madrid, Madrid provincia
- Jornada completa
- Salesforce
- DevOps
- APIs
Solicitud rápida
Lead AI Architect, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Azure
- Java
- Inteligencia artificial
AI Governance Lead
TMC —Madrid, Madrid provincia
- Inteligencia artificial
Senior/Lead AI Engineer – Agents Team - BCN/MAD/MUN
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
Lead Workplace Engineer - Microsoft 365, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – Madrid
Oliver Wyman —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- Oficina
Lead AI Engineer (Agentic Systems)
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Informática
Lead Process Engineer
Worley —Madrid, Madrid provincia
- Grado
- Inteligencia artificial
- Gestión del tiempo

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Lead AI Engineer

InteractiveAI
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa
De 110.000 € a 130.000 € al año

Beneficios

Vacaciones pagadas

Cualificaciones

TensorFlow
CI/CD
Azure
Derecho
Spark
Máster
AWS
Deep learning
Cloud
Inteligencia artificial
Liderazgo
Python

Descripción completa del empleo

What You’ll Do

As a Lead AI Engineer at InteractiveAI, 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 GenAI 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 engineering
Lead the deployment of ML models and LLMs into production, ensuring performance, reliability, and traceability
Architect and oversee fine-tuning pipelines for LLMs with versioned checkpoints, evaluation suites, and experiment tracking
Design 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 alerts
Guide feature engineering, imputation, and transformation strategies in complex, real-world scenarios
Implement and optimize retrieval-augmented generation (RAG) workflows, vector search approaches, and knowledge-grounding strategies
Lead the development of enterprise-grade agentic workflows, tooling integrations, and agent evaluation methods
Optimize inference speed, memory usage, and cost for high-throughput systems across the platform
Own reliability and performance of models in production, solving challenges around latency, accuracy, drift, and scaling
Collaborate with product and delivery teams to ship client-ready, measurable outcomes and accelerate new AI-driven features

What We’re Looking For

We’re looking for a top-tier AI engineer with 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.

Minimum Requirements:

5+ years in data engineering, ML engineering, applied AI, or similar deep technical roles
Experience deploying ML models and LLMs to production at scale, with strong inference optimization skills
Hands-on experience with agent orchestration tools (LangGraph, LlamaIndex, or similar)
Experience training deep-learning models and fine-tuning LLMs using modern frameworks
Fluent in Python and experienced with at least one major deep learning library (PyTorch, TensorFlow, JAX, etc.)
Strong experience building production-grade data pipelines (batch or streaming) using tools like Airflow, Spark, Dagster
Solid understanding of ML theory (bias-variance tradeoff, probability, metrics, optimization, evaluation, etc.)
Comfortable with cloud platforms (AWS, GCP, Azure) and containerized deployments
Excellent communication skills with proven ability to mentor engineers or lead technical workstreams

Additional Requirements:

Experience with LLMs and RAG pipelines in production environments
Familiarity with vector databases, embeddings, and document retrieval strategies
Exposure to MLOps practices: model monitoring, reproducibility, CI/CD for ML, automated evaluations
Experience optimizing inference latency, throughput, and cost at scale
Experience 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 AI

What You’ll Get

Competitive base salary (from €110,000/yr to €130,000/yr) + performance bonuses
Access to equity/share plan as it rolls out.
Health & wellness allowances
Private health insurance
Flexible work setup + travel when needed (ideally Hybrid in Lisbon or Madrid)
25 days of holidays/paid time off (excluding local public holidays)

Who You Are

Proactive & 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 setting.
Collaborative Mentor: You work across disciplines, guide others, and contribute to a culture of high performance.

Interview Process

We 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 expectations
Culture & Values Alignment interview – Focused on your motivations to join InteractiveAI
Live Coding Interview Challenge – A practical task based on real-world problems
Delivery & Collaboration Interview – Working style, client interaction, communication
Offer – Final conversation and offer details

We’re building a team of builders — people who care about impact, quality, and growth. If that’s you, let’s talk — [email protected]

About us

InteractiveAI 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.

Solicitud rápida

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lead ai engineer empleos en md

Lead AI Engineer

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Desarrollador/a IA (AI/ML Engineer) Junior

Senior Infrastructure Optimization Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote

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