AI Engineer

InteractiveAI; Madrid; Híbrido; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

A fast-growing AI startup is seeking an AI Engineer to lead the deployment of advanced AI models. The ideal candidate will design scalable systems and maintain efficient data pipelines. This hybrid position offers a competitive salary and performance bonuses, along with opportunities for equity and health benefits.

Servicios

Competitive base salary

Performance bonuses

Health & wellness allowances

Private health insurance

25 days of holidays

Formación

• 3+ years in data engineering, ML engineering, or applied AI roles.
• Experience deploying models to production and optimizing inference performance.
• Hands-on experience with at least one agent orchestration tool.

Responsabilidades

• Lead experimentation and deployment of cutting-edge models.
• Design and implement advanced AI systems.
• Build and maintain scalable pipelines for data ingestion.

Conocimientos

Data engineering

ML engineering

Python

Model deployment

Deep learning frameworks

Cloud platforms

Agent orchestration tools

Herramientas

Airflow

Spark

Descripción del empleo

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Location : Hybrid (Lisbon or Madrid preferred)

About InteractiveAI

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 end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions. Our platform allows companies to orchestrate, monitor, evaluate, deploy and improve AI agents—and soon fine-tune and own their own models.

We value autonomy, speed, and innovation, and we’re 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 Do

As an AI Engineer at InteractiveAI, you’ll lead experimentation and deployment of cutting-edge models, agentic architectures, and fine-tuning workflows - shaping the core systems that power our autonomous agents. Embedded in a cross-functional squad, you’ll design and implement advanced AI systems that integrate reasoning, memory, and tool use to solve real-world business problems. You’ll own end-to-end model and data pipelines, support scalable LLM deployments, and contribute to robust, production-grade AI infrastructure.

• Build and maintain scalable pipelines for structured / unstructured data ingestion, transformation, and feature engineering
• Deploy ML models and LLMs into production, ensuring performance, reliability, and traceability
• Build streamlined fine-tuning pipelines for LLMs with versioned checkpoints and hyperparameter tracking
• Implement automated evaluation (A / B tests, LLM-as-judge, validation suites) and dashboards to monitor latency, accuracy, drift, and trigger retraining or alerts
• Feature engineering, imputation, and transformation techniques in practical scenarios
• Implement retrieval-augmented generation (RAG) workflows and evaluate performance
• Implement enterprise-grade agentic workflows and evaluate LLM outputs
• Optimize inference speed and memory usage in high-throughput systems
• Monitor and improve model performance in production, including latency, accuracy, and drift
• Work alongside product and delivery leads to ensure client-ready, measurable outcomes

What We’re Looking For

We’re looking for someone with strong foundations, proven delivery, and the ability to build production-ready AI systems. Here’s what success looks like for this role :

3+ years in data engineering, ML engineering, or applied AI roles

Experience deploying models to production and optimizing inference performance

Hands-on experience with at least one agent orchestration tool (LangGraph, LlamaIndex)

Experience training deep-learning models and fine-tuning LLMs

Fluent in Python for data and ML development and hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, etc.)

Experience building data pipelines (batch or streaming) using tools like Airflow, Spark

Solid grasp of ML concepts (bias-variance tradeoff, supervised vs. unsupervised learning, precision-recall tradeoffs)

Comfortable working with cloud platforms (AWS, GCP, or Azure)

Strong communication skills and experience working in cross-functional teams

2 / Additional Requirements :

Experience with LLMs and RAG pipelines in production

Familiarity with vector databases, embeddings, and document retrieval strategies

Exposure to MLOps practices : monitoring, reproducibility, CI / CD for ML

Experience optimizing inference latency and cost at scale

Experience working in regulated or enterprise environments (e.g., banking, insurance)

Who You Are

Proactive & Resourceful : You take initiative to identify gaps and drive solutions without waiting for instructions.

Accountable & High-Ownership : You treat our codebase and infrastructure as your own, and you honor commitments.

Entrepreneurial Mindset : You thrive in ambiguity, embrace rapid change, and deliver in a high-paced startup setting.

Team Player : You collaborate effectively across disciplines, give and receive feedback constructively, and mentor others.

What You’ll Get

Competitive base salary (from €60,000 / yr to €100,000 / yr) + performance bonuses

Future equity opportunity for high performers

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)

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

Take-Home Challenge – A practical task based on real-world problems

Technical Interview – Deep dive into the challenge, technical experience, and AI engineering

Cultural and Values Interview – Discussion on motivation, cultural and value alignment

Offer – Final conversation and offer

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

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Production and Product Management

Industries

Technology, Information and Media, IT Services and IT Consulting, and IT System Design Services

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