Lead Systems Architect
Job Description
Job Description: Senior Systems Architect – AI Agent Orchestration Platform
Company
Phinite.ai
About the Company
Phinite.ai is building the world’s first AI Agent Orchestration Platform that enables enterprises to design, deploy, and manage multi-agent AI systems significantly faster and more efficiently. The platform acts as a “DevOps layer for AI Agents,” helping enterprises standardize and accelerate AI deployments at scale.
The company is rapidly expanding and is looking for a highly experienced systems engineering expert to architect and optimize the core infrastructure powering next-generation agentic AI systems.
Position
Senior Systems Architect – AI Agent Orchestration Platform
Experience Required
7–12 Years
Employment Type
Full-time
Role Overview
Phinite.ai is seeking a highly skilled systems design and distributed systems expert to lead the architecture and scalability of its AI orchestration platform. This role is ideal for engineers passionate about building high-performance, low-latency backend infrastructure and solving complex scalability challenges.
The selected candidate will play a critical role in designing the core orchestration runtime used by enterprise-grade AI systems and automation workflows.
Key Responsibilities
Architecture & Platform Engineering
Architect and optimize a large-scale AI agent orchestration runtime.
Design ultra-low-latency and high-throughput backend systems.
Build scalable orchestration, scheduling, and messaging infrastructure using Python and Golang.
Design robust multi-tenant SaaS architectures for enterprise deployments.
Performance & Scalability
Lead performance engineering initiatives including:
Profiling
Concurrency optimization
Queue management
Caching strategies
Cold-start reduction
Ensure high availability, scalability, and fault tolerance across distributed systems.
Cloud & Infrastructure
Drive architectural decisions involving:
Kubernetes
Microservices
Observability systems
Cloud-native infrastructure
Load balancing
Distributed messaging systems
Collaborate with platform and DevOps teams to enhance reliability and operational efficiency.
AI Workflow Integration
Partner with AI engineering teams to implement and operationalize agentic workflows.
Support orchestration of LLM-based systems and enterprise AI automation pipelines.
Leadership & Innovation
Contribute to architectural standards and technical strategy.
Transform ambiguous product requirements into scalable, elegant engineering solutions.
Influence core platform evolution and long-term engineering direction.
Required Qualifications
Technical Expertise
7–12 years of experience building scalable distributed systems or real-time backend platforms.
Strong expertise in:
System architecture
Distributed systems
Scalability engineering
Performance optimization
Hands-on proficiency in:
Golang
Python
Strong understanding of:
Kubernetes
Microservices architecture
Messaging queues
Caching systems
Load balancing
Cloud-native development
Engineering Skills
Experience building systems that process high volumes of:
Events
Messages
Workflows
Real-time operations
Strong analytical and problem-solving capabilities.
Ability to design clean, reliable, and maintainable systems.
Preferred Qualifications
Experience with AI agent frameworks such as:
LangGraph
AutoGen
CrewAI
Familiarity with:
Vector databases
Semantic retrieval systems
Workflow orchestration engines
Event-driven AI applications
Knowledge of LLM orchestration and agentic AI systems.
Why Join Phinite.ai?
Opportunity to help build foundational infrastructure for enterprise AI systems.
Work directly with founders and senior architects.
High ownership over architectural and technical decisions.
Competitive compensation and meaningful equity.
Exposure to cutting-edge AI infrastructure technologies.
Opportunity to work on systems used by Fortune 1000 enterprises across telecom, BFSI, logistics, and other sectors.
How to Apply
Interested candidates can send their:
Resume
GitHub profile
Portfolio
to:
📧 careers@phinite.ai
