Principal AI Engineer

We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About The Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scaleIdentify 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 infrastructureDesign 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 guardrailsMake and document key technical decisions; set the bar for code quality, system reliability, and performanceMentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden riskCollaborate 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 systemsYou've designed and scaled complex systems, not just maintained themHands-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 rolloutStrong 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 resilientExperience with reliability practices at scale: observability, alerting, incident responseSolid SQL and query optimization across PostgreSQL and ClickHouseComfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committeeAbility to work within EST timezoneFluency in English Nice to Have Track record of defining engineering standards and driving adoption across a teamExperience migrating legacy pipeline systemsBackground in data integration or ETL infrastructure What We Offer Remote-first environmentDirect impact on platform architecture — your decisions matterModern AI-native tech stack with real freedom to experiment20 PTO days + US holidaysStock optionsProfessional development reimbursementOptional relocation assistance to Latin America after trial period Powered by JazzHR 7UJcpVlxth