Jobs · Engineering · New Jersey

Staff Core Engineer (Platform Team)- US

Lyzr AI · Jersey City, NJ · 4 wk ago
EngineeringFull-time

About the Role

As a Staff Core Engineer on the Platform team at Lyzr, you will own entire complex systems end-to-end, setting the technical direction for our core agent architecture. This hands-on technical leadership role involves leading design reviews, setting quality standards, mentoring engineers, and making architectural decisions to ensure our AI workforce runs reliably in production at scale.

Responsibilities

  • Design and own entire complex systems end-to-end, from architecture through production operation
  • Own the core agent architecture: orchestration, tool execution, agent memory, RAG, Text2SQL, and guardrails
  • Drive scalability and reliability across distributed systems serving enterprise agent workloads
  • Establish robust cloud, CI/CD, monitoring, logging, and tracing practices for the platform
  • Bring a research-driven mindset—evaluate emerging techniques and turn promising ideas into shipped capabilities
  • Lead design reviews, set engineering quality standards, and mentor senior and junior engineers
  • Partner with product and other teams to translate ambiguous problems into durable technical strategy

Requirements

  • Demonstrated track record of building impactful, large-scale systems end-to-end
  • Deep expertise in distributed systems and scalable architectures
  • Strong, current Python expertise and excellent system design instincts
  • Hands-on experience operating production systems on the cloud with mature CI/CD, monitoring, logging, and tracing
  • Experience with one or more core agent components: orchestration, tool execution, memory, RAG, Text2SQL, or guardrails
  • Proven ability to mentor engineers, lead design reviews, and raise the bar for quality across a team

Qualifications

  • Nice to Have: Go for performance-critical components
  • Published research or open-source contributions in LLM/agent infrastructure
  • Experience building guardrails, safety, or responsible-AI systems
  • Prior experience in an enterprise or regulated environment (e.g., banking, insurance)

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