Lead Engineer - AI Studio

Architecture & Platform Ownership:

• Own architecture and scaling decisions for core AI Studio platform components.
• Lead design and implementation of cross-cutting initiatives to improve system responsiveness and robustness.
• Build scalable, fault-tolerant LLM pipelines for content generation and AI-driven guidance.

AI & Distributed Systems Engineering:

• Work hands-on with Go, NestJS, Node, PostgreSQL, Firestore, Vector Databases, Cloudflare Workers, and microservices.
• Design distributed systems handling high-throughput generative and analytical workloads.
• Build and optimize embeddings pipelines, RAG, and multi-agent orchestration frameworks.

Quality, Observability & Reliability:

• Drive improvements in observability using Prometheus/Grafana, OpenTelemetry, and structured logging.
• Establish and maintain SLOs for generation latency, correctness, model safety, and system uptime.
• Strengthen resiliency and failover strategies during traffic spikes and model load variations.

AI Guardrails, Safety & Tooling:

• Implement hallucination mitigation strategies including code constraints and model verification layers.
• Collaborate with infra and security to enforce data governance and compliance.
• Leverage LLMs and AI tools to write, test, and debug code while driving reliability standards.