AI Platform Engineer

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 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.

You'll be joining at a pivotal moment : we're scaling from proof-of-concept to enterprise-grade reliability. Your work will directly impact whether lawyers can trust our AI to handle their most critical cases.

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?

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 vector search at scale
• Build and improve AI document processing pipelines including OCR systems, 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. Make our AI transparent and debuggable
• Create CI / CD pipelines that automate model deployment, testing, and rollback strategies. Enable the team to ship confidently and frequently
• Strengthen security and governance : Implement best practices for data protection, access control, and compliance (critical in legal tech). Protect sensitive client information
• Build autonomous AI agent systems : 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

What We're Looking For Required :

Nice to Have :

You Are :

What We Offer Compensation

Work-Life Balance