Loading...
LeadFull-timeGoVueRailsRESTAPIMicroservicesAIGit
About the Role
We are looking for a Staff Software Engineer to join our Funnels AI Team, responsible for building the next-generation AI engine that powers the entire Funnels experience. This role involves setting technical direction for AI-driven funnel architecture, guiding complex system design decisions, and mentoring engineers across multiple squads.
Key Responsibilities
- →Own architecture and scaling decisions for core Funnels AI platform components
- →Design and implement cross-cutting initiatives to improve system responsiveness and platform robustness
- →Build scalable, fault-tolerant LLM pipelines for content generation and AI-driven user guidance
- →Work hands-on with technologies like NestJS, Node, Firestore, and Vector Databases
- →Design distributed systems that handle high-throughput generative and analytical workloads
- →Drive improvements in observability using Prometheus/Grafana and OpenTelemetry
- →Establish and maintain SLOs for generation latency, correctness, and system uptime
- →Implement hallucination mitigation strategies and AI safety guardrails
- →Mentor and guide engineers across squads, promoting technical excellence
- →Partner with product managers and designers to define long-term roadmap
Requirements
- ✓8+ years of backend engineering experience with distributed system design
- ✓Deep expertise in event-driven architectures and high-throughput data pipelines
- ✓Strong command of relational and NoSQL data models
- ✓Fluency in LLM integrations, vector search, embeddings, and RAG patterns
- ✓Familiarity with frontend architecture using Vue and understanding of UI/UX principles
- ✓Experience with monitoring, alerting, and incident response for production systems
- ✓Strong instincts for scaling, latency optimization, and reliability under load
- ✓Experience implementing structured generation, verification layers, and guardrails to reduce hallucinations
- ✓Understanding of prompt engineering patterns, context injection, and model evaluation
