AI Platform Engineer

Maite.ai; Murcia; A distancia; EUR 43.000; Jornada completa

Descripción de la vacante

A technology-driven legal firm in Spain seeks an experienced AI Platform Engineer to architect and maintain AI infrastructure, impacting legal practices significantly. The role requires robust skills in Python, cloud platforms, and CI/CD pipelines. Offering a fully remote position with a competitive salary of €43,000 and a flexible work environment.

Servicios

100% remote work

Flexible hours

28 vacation days

Access to learning resources

Formación

• Significant experience building and operating ML/AI systems in production.
• Deep expertise in cloud platforms.
• Proven track record building CI/CD pipelines for ML systems.

Responsabilidades

• Design and evolve AI infrastructure across Google Cloud and AWS.
• Build and improve AI document processing pipelines.
• Implement robust monitoring and observability for AI systems.

Conocimientos

Python

Cloud platforms (Google Cloud, AWS)

Modern JavaScript / TypeScript

Kubernetes

CI/CD pipelines

Monitoring and observability expertise

Herramientas

Docker

Terraform

Sentry

Descripción del empleo

AI Platform Engineer @ Maite.ai

About Us At Maite.ai, we're building AI agents that transform how legal professionals work. We don't just want to make lawyers 10% faster – we want to reimagine legal practice entirely. Our mission is simple but ambitious: fight for a fairer world through technology. We're a team obsessed with our users, radical about truth, infinitely curious, and living in the future.

The Opportunity

We're looking for an AI Platform Engineer who will architect and maintain the infrastructure that powers our AI‑driven legal platform. This role is focused on building the foundation that moves our AI research from experiments to production‑grade tools used by thousands of legal professionals daily. You'll be joining at a pivotal moment – scaling from proof‑of‑concept to enterprise‑grade reliability – and your work will directly influence whether lawyers can trust our AI in critical cases.

The Challenge

How do you build infrastructure that is reliable enough for legal work (where accuracy matters), fast enough for real‑time document analysis, and flexible enough to integrate the latest AI breakthroughs?

What You’ll Do

• Design and evolve our AI infrastructure across Google Cloud, AWS, and specialized services (Qdrant, Supabase, Sentry) to support multiple LLM providers (OpenAI, Anthropic, Gemini) and large‑scale vector search
• Build and improve AI document processing pipelines, including OCR, text extraction from complex legal documents (.docx, PDFs), anonymization, and embedding generation for semantic search
• Implement robust monitoring and observability for AI systems in production – track model performance, latency, costs, and reliability, making AI transparent and debuggable
• Create CI/CD pipelines that automate model deployment, testing, and rollback strategies, enabling confident and frequent releases
• Strengthen security and governance, implementing best practices for data protection, access control, and compliance in legal tech to protect sensitive client information
• Build autonomous AI agent systems: design infrastructure for agents that can reason, use tools, and complete multi‑step legal tasks independently
• Collaborate closely with engineers, the Q&R team, product, and the CTO to translate research breakthroughs into production features
• Optimize cost and performance, ensuring efficient scaling without unnecessary compute expenditure

What We’re Looking For

Required

• Significant experience building and operating ML/AI systems in production, and keeping them running reliably
• Deep expertise in cloud platforms (Google Cloud and/or AWS), including compute, storage, networking, and managed ML services
• Strong Python skills and experience with the ML ecosystem (scikit‑learn, PyTorch / TensorFlow, LangChain, LlamaIndex, or similar frameworks)
• Modern JavaScript / TypeScript expertise with React, Next.js, Node.js, and API design – you’ll work in our full‑stack codebase and build APIs for AI services
• Production Kubernetes experience deploying, managing, and scaling containerized ML workloads in production environments
• Infrastructure‑as‑code experience with Terraform, CloudFormation, or Pulumi for managing cloud resources
• Proven track record building CI/CD pipelines for ML systems – automating training, testing, deployment, and monitoring
• Experience with Docker and container orchestration for deploying and scaling ML workloads
• Knowledge of vector databases (Qdrant, Pinecone, Weaviate) and semantic search architectures
• Monitoring and observability expertise with Sentry, Datadog, Prometheus, Grafana, or equivalent

Nice to Have

• Experience with LLM‑specific infrastructure (prompt management, fine‑tuning pipelines, inference optimization)
• Background in document processing systems (OCR, PDF parsing, layout analysis)
• Familiarity with security and compliance requirements in regulated industries (legal, healthcare, finance)
• Previous experience in early‑stage startups or small, high‑impact teams
• Contributions to open‑source ML tools or frameworks

You Are

• User‑obsessed – you understand that infrastructure exists to serve end users (lawyers, in our case) and think about reliability from their perspective
• A systems thinker – you see the big picture but obsess over details that matter; you know when to build for scale and when to ship fast
• Radically honest – you call out problems early, debate ideas openly, and help the team make better decisions through transparency
• Infinitely curious – you stay current with ML/AI advances and love experimenting with new tools; you ask “what if?” constantly
• Autonomous and proactive – in a small team you don’t wait for instructions; you identify problems and solve them
• Pragmatic – you balance “perfect” with “shipped”; you know when to take shortcuts and when to invest in quality
• A teacher – you document your work, share knowledge, and help others understand complex systems

What We Offer Compensation

€43,000 annual salary

Work‑Life Balance

• 100% remote – work from anywhere in Spain
• Flexible hours – we care about output, not hours logged; manage your own schedule
• Async‑first culture with regular team meetups to stay connected
• 28 vacation days
• Flexible retribution via Coverflex (meals, transport, kindergarten, and more)

Growth & Learning

• Time to experiment with new AI tools, frameworks, and technologies – we encourage exploration
• Work directly with the CTO and cross‑functional teams on strategic decisions
• Shape the ML infrastructure from the ground up – massive ownership and impact
• Access to conferences, courses, and learning resources

Impact & Culture

• Small, high‑impact team where your work directly influences product direction
• Meaningful mission – help build a fairer world through legal technology
• Radical truth – your ideas matter, regardless of title
• Living in the future – we build for where legal tech is going, not where it is

Maite.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds, experiences, and perspectives.

Location Requirement: Must be legally authorized to work in Spain. This is a fully remote position within Spain.

Let’s build a fairer world together.