Technology & Innovation Engineer

AI Platform Engineer @ 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

• . 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 isn't a role where you'll manage existing systems - you'll be

building the foundation

that takes our AI research from experiments to production-grade tools used by thousands of legal professionals daily.

The Challenge

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

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 vector search at scale Build and improve AI document processing pipelines

including OCR systems, text extraction from complex legal documents (.Implement robust monitoring and observability

for AI systems in production - track model performance, latency, costs, and reliability. Create CI / CD pipelines

that automate model deployment, testing, and rollback strategies. Implement best practices for data protection, access control, and compliance (critical in legal tech). Design infrastructure for AI agents that can reason, use tools, and complete multi-step legal tasks independently Collaborate closely

with engineers, the Q&R (Quality & Research) team, product, and CTO to understand needs and translate research breakthroughs into production features Optimize for cost and performance

: Ensure we can scale efficiently without burning budget on unnecessary compute

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

(Terraform, CloudFormation, 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

(Sentry, Datadog, Prometheus, Grafana, or equivalent)

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 You know when to take shortcuts and when to invest in quality 100% remote