Senior Core Engineer; Platform Team

About Lyzr

Lyzr is the full-stack agent infrastructure platform that lets enterprises build, govern, and deploy a secure, autonomous AI workforce. Where most companies run a handful of copilots, Lyzr is the layer that lets them run an entire AI workforce in production — governed, reliable, and at scale.

Backed by Accenture and trusted across banking, insurance, sales, marketing, HR, and customer service, Lyzr offers a "third way" for enterprise AI: the flexibility of an open platform combined with the security of a managed platform, deployed inside the customer’s own environment for full data privacy and IP ownership.

The Platform team builds the engine underneath all of it: the agent framework and its core components — orchestration, tool execution, agent memory, RAG, Text2

SQL, guardrails, and observability.

As a Senior Core Engineer, you lead the development of key systems within our agent stack. You bring strong system design and clean architecture instincts, and you ship high-quality components quickly and reliably.

You’ll work across the core agent framework — orchestration, memory, RAG, tool execution, guardrails, and observability — collaborating deeply across teams and mentoring junior engineers as you go.

• 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

• Strong, current Python fundamentals and solid system design instincts
• Track record of shipping high-quality components quickly and reliably
• Comfort operating in cloud-native environments (AWS or similar) with CI/CD workflows
• Experience building or contributing to non-trivial backend or platform systems
• Ability to mentor others and collaborate effectively across teams

• Experience with agent or LLM components: orchestration, memory, RAG, Text2
  
  SQL, or guardrails
• Go experience
• Familiarity with observability tooling — logging, metrics, and distributed tracing
• Exposure to vector databases and retrieval systems