Lead Core Engineer / Architect
About this role
About Lyzr AI
Lyzr is building the foundation layer for agentic AI systems — making it radically simpler to build, deploy, and scale intelligent agents in production.
We believe the future of software is agent-first. Not wrappers. Not demos. Real systems that reason, act, observe, and improve over time.
We’re looking for Core Engineers who want to work at the deepest layers of agentic infrastructure — the runtime, orchestration, memory, tool execution, and guardrails that power real-world AI systems.
If you’re excited by how agents actually work under the hood, this role is for you.
What You’ll Do:
Own end-to-end architectural decisions across backend services, frontend platforms, and infrastructure - ensuring systems are scalable, resilient, and cost-efficient.
Define and champion engineering standards, design patterns, and architectural principles that teams actually want to follow.
Lead architecture reviews - evaluate new proposals, identify risks early, and guide squads toward the right trade-offs.
Drive backend excellence: microservices design, API contracts, data modelling, event-driven architecture, and performance at scale.
Partner with frontend leads to shape component architecture, state management, and web performance standards across web and app.
Collaborate with DevOps/SRE on cloud infrastructure, deployment strategies, observability, cost and reliability best practices.
Act as a technical mentor - build architectural thinking and engineering craft across the organisation
Translate product ambitions and growth targets into concrete technical roadmaps with clear Milestones.
Lead AI-first architecture: ML Ops /LLM Ops, feature stores, vector search/RAG, real-time inference, evaluation/guardrails, responsible AI, model observability and governance
What we're looking for
10 or more years of experience in software, cloud, or platform architecture leadership roles.
Strong backend fundamentals; Python preferred
Expertise in multi-tenant, distributed, microservices based systems on AWS, experience in Azure or GCP valued.
Proven experience designing and governing high performance, high traffic digital platforms.
Proven delivery of AI/ML and GenAI to production at scale (ML Ops/LLM Ops, guardrails, monitoring, governance)
Experience with AI, machine learning, and automation for intelligent operations and observability.
Familiarity with cloud networking, security, and cost optimization best practices.
Security/compliance in regulated environments; privacy engineering and data governance
Company at a glance
Lyzr builds an agent infrastructure layer that enables enterprises to deploy and manage multiple AI copilots and an entire AI workforce in production. The company provides the infrastructure, governance, and expertise needed to design and deploy private AI systems while helping organizations maintain control of their data and systems. Lyzr's vision is to achieve Organizational General Intelligence through millions of specialized agents working together, with the goal of automating up to 80% of business operations. By offering this comprehensive platform, Lyzr empowers enterprises to transform how they operate at scale.
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