Core Platform Engineer

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.

As a Core Engineer at Lyzr, you’ll work on the heart of the platform — the framework and services that enable agents to plan, execute, collaborate, and operate safely at scale.

You’ll collaborate closely with product, infra, and leadership to ensure architectural clarity, technical rigor, and production-grade reliability across everything we ship.

Build and evolve the Lyzr agent runtime (planning & execution loops, memory systems, tool/function calling, multi-agent coordination)

Develop core agent services (event-driven orchestration, RAG pipelines, Text-to-SQL, tool invocation layers)

Design secure tool execution environments and sandboxing mechanisms

Implement model & data integrations (LLM providers, embeddings, vector stores, connectors, RAG pipelines)

Build observability & guardrails (tracing, token-level logging, eval harnesses, safety filters, policy enforcement)

Ship multi-tenant SaaS and enterprise / on-prem deployments with RBAC

Own scalability & resilience (profiling, load testing, autoscaling, failure handling)

Contribute to open-source components and help build a strong developer ecosystem around Lyzr

Strong hands-on backend engineering experience

Excellent command of Python, FastAPI, MongoDB, and Docker

Proven experience building and scaling systems from scratch

Solid grasp of distributed systems, system design, and API architecture

AWS experience required (Azure is a plus)

Product-minded engineers with strong ownership and initiative

Clear communicator and collaborative problem-solver

Designs and owns entire complex systems end-to-end

Deep expertise in distributed systems and scalable architectures

Owns core agent architecture: orchestration, tool execution, memory, RAG, Text2SQL, guardrails

Strong cloud, CI/CD, monitoring, logging, and tracing experience

Research-driven mindset — pushes the platform forward with new ideas

Mentors engineers, leads design reviews, sets quality standards

Demonstrated track record of building impactful systems

Leads development of key systems within the agent stack

Strong system design and clean architecture instincts

Ships high-quality components quickly and reliably

Mentors junior engineers and collaborates deeply across teams

Comfortable operating in cloud-native environments

Ships well-scoped features with quality and speed

Strong Python fundamentals (Go or Rust is a bonus)

Familiar with AWS and CI/CD workflows

Breaks down complex problems, identifies edge cases, and asks the right questions

You’ll work on real agentic systems, not demos

You’ll shape the core intelligence layer, not just applications

You’ll have ownership, trust, and freedom to build

You’ll influence how enterprises adopt agentic AI globally