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AI Engineer

InteractiveAIMadrid, Comunidad de Madrid, España

Hace más de 30 días

Descripción del trabajo

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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

Mid-Senior level

Employment type

Full-time

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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Ai Engineer • Madrid, Comunidad de Madrid, España