Principal AI Engineer (Platform team)

About the Role

Responsibilities

• Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems (LES, DSAS, ULS) into scalable, AI-native infrastructure
• Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL)
• Lead modernization of legacy systems (LES, DSAS, ULS) into scalable, AI-native infrastructure
• Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance
• Make and document key technical decisions; set the bar for code quality, system reliability, and performance
• Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk
• Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities

Requirements

• 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems
• You've designed and scaled complex systems, not just maintained them
• Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout
• Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ)
• Experience building secure systems that are hard to break, hard to breach, and resilient
• Experience with reliability practices at scale: observability, alerting, incident response
• Solid SQL and query optimization across PostgreSQL and ClickHouse
• Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee
• Ability to work within EST timezone
• Fluency in English

Nice to Have

What We Offer

• Remote-first environment
• Direct impact on platform architecture — your decisions matter
• Modern AI-native tech stack with real freedom to experiment
• 20 PTO days + US holidays
• Stock options
• Professional development reimbursement
• Optional relocation assistance to Latin America after trial period