Staff Platform Engineer - AI Agents Orchestration & Scale

Lyzr AI; New Jersey; On-site; USD 180,000 - 230,000; Full time

Job summary

Lyzr AI in New Jersey is seeking a Staff Core Engineer to own end-to-end complex systems on the Platform team, setting technical direction for core agent architecture including orchestration, memory, RAG, and guardrails.

This hands-on leadership role requires designing scalable, reliable distributed systems, shaping cloud, CI/CD, monitoring, and tracing practices, and mentoring engineers across the team.

Qualifications

• Track record of building large-scale systems end-to-end.
• Deep expertise in distributed systems and scalable architectures.
• Strong Python expertise and system design instincts.
• Hands-on experience operating production cloud systems with mature CI/CD, monitoring, logging, and tracing.
• Proven ability to mentor engineers, lead design reviews, and raise the bar for quality.

Responsibilities

• Design and own entire complex systems end-to-end, from architecture through production operation.
• Own the core agent architecture: orchestration, tool execution, memory, RAG, Text2SQL, and guardrails.
• Drive scalability and reliability across distributed systems serving enterprise workloads.
• Establish 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.

Skills

Distributed systems

Python

System design

Mentoring

CI/CD

Cloud

Job description

Lyzr AI in New Jersey is seeking a Staff Core Engineer to own end-to-end complex systems on the Platform team, setting technical direction for core agent architecture including orchestration, memory, RAG, and guardrails.

This hands-on leadership role requires designing scalable, reliable distributed systems, shaping cloud, CI/CD, monitoring, and tracing practices, and mentoring engineers across the team.