Senior Core Engineer, AI Agent Platform

Lyzr AI

Jersey City (NJ)

On-site

USD 140,000 - 210,000

Full time

8 days ago
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Job summary

Lyzr AI is building the platform to deploy autonomous AI workloads securely at scale. As a Senior Core Engineer, you will lead design and implementation of core systems in the agent stack, applying strong system design instincts and clean architecture to ship reliable components.

You will collaborate across teams, mentor junior engineers, own production services in cloud-native environments (AWS or similar), and contribute to guardrails, observability, and performance improvements across the

Qualifications

  • Proficiency in Python and backend design.
  • Strong system design instincts and ability to ship reliable components.
  • Experience operating in cloud-native environments (AWS or similar).
  • Ability to mentor junior engineers and collaborate across teams.
  • Experience building or contributing to non-trivial backend or platform systems.

Responsibilities

  • Lead development of key systems within the agent stack from design through delivery.
  • Apply strong system design and clean architecture to build maintainable, well-structured components.
  • Ship high-quality features quickly and reliably, with a focus on correctness and edge cases.
  • Operate confidently in cloud-native environments, owning your services in production.
  • Mentor junior engineers and collaborate deeply across product and platform teams.
  • Contribute to design reviews and help uphold engineering quality standards.

Skills

Python
System design
Cloud-native
Mentoring
Backend

Tools

Go
Observability tooling
Vector databases

Job description

Lyzr AI is building the platform to deploy autonomous AI workloads securely at scale. As a Senior Core Engineer, you will lead design and implementation of core systems in the agent stack, applying strong system design instincts and clean architecture to ship reliable components.

You will collaborate across teams, mentor junior engineers, own production services in cloud-native environments (AWS or similar), and contribute to guardrails, observability, and performance improvements across the

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