Lead Systems Architect – AI Agent Orchestration (Python / Golang)

Phinite.ai is building the world’s first AI Agent Orchestration Platform that lets enterprises design, deploy, and manage multi-agentic systems 10x faster with 4x fewer resources . A "DevOps platform for AI Agents" that standardizes and accelerates AI deployments across the enterprise.

We’re growing fast and we’re looking for a system-design champion who can architect and optimize the AI core of our platform for extreme scale.

What You’ll Own

You’ll be the engineering force behind the platform’s next evolution. This role is for someone who loves deep system architecture and makes distributed systems behave like butter.

You will :

• Architect & optimize a high-scale agentic orchestration runtime
• Design and implement ultra-low-latency, high-throughput backend systems
• Work with Python + Golang to build core orchestration, scheduling, and messaging layers
• Own performance engineering : profiling, caching, concurrency, queuing, and cold-start optimization
• Partner with our AI team to bring agentic workflows to life (even if you're not an agentic expert today)
• Lead engineering decisions around Kubernetes, multi-tenant SaaS, observability, and cloud infra
• Help build a platform that Fortune 1000 enterprises rely on for mission-critical automation

Who You Are (Ideal Profile)

We're intentionally searching for a system design expert first , and an “agentic person” second.

You may be perfect if you :

Must-Have Strengths

Nice-to-Have (Not Required)

If you’re an elite systems engineer who can learn agentic concepts , you’ll fit perfectly.

If you’re an AI agentic person without deep systems chops , this role may not be the ideal match.

Why Join Phinite.ai?

You’ll be joining at the most exciting moment — early enough to shape the core platform, but with real enterprise traction already in motion.

This isn't a maintenance job. This is “build the foundation of a generational AI company” territory.

How to Apply

Apply on Linkedin or Send your GitHub, resume, or portfolio to

If you’ve built something insanely scalable, we want to hear about it.