What are the responsibilities and job description for the Distributed Infrastructure Lead (Agent Networks) position at Naptha AI?
Job Description
Job Description
Infrastructure Lead (Agent Networks)
About this role
We are seeking an exceptional Infrastructure Lead to architect and build the foundational systems that will power the next generation of AI agent networks at Naptha AI. This is a rare opportunity to shape the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. As our Infrastructure Lead, you'll design and implement the systems that will enable billions of AI agents to interact, coordinate, and scale efficiently across distributed environments.
Core Responsibilities
Design and implement scalable infrastructure for massive agent networks
Architect systems for efficient agent communication and coordination
Build robust, distributed systems for agent deployment and execution
Create monitoring, observability, and debugging systems for agent networks
Develop performance optimization strategies for large-scale agent operations
Design fault-tolerant systems for reliable agent interactions
Lead technical decisions around infrastructure architecture
Technical Challenges You'll Tackle
Designing distributed systems that can handle millions of concurrent agent interactions
Building efficient communication protocols for agent-to-agent interactions
Creating scalable orchestration systems for agent deployment
Implementing robust monitoring and debugging tools for complex agent networks
Optimizing resource utilization across distributed agent systems
Developing infrastructure that can adapt to emerging AI capabilities
You're a good fit if you have :
Deep expertise in distributed systems and scalable architecture
Strong experience with high-performance computing or large-scale systems
Track record of building reliable, production-grade infrastructure
Experience with modern cloud platforms and containerization
Strong coding abilities in systems programming languages
Understanding of AI / ML deployment challenges
Passion for solving complex infrastructure problems
Required Technical Experience :
Proven experience building distributed systems at scale
Expertise in performance optimization and system reliability
Strong programming skills (Go, Rust, or similar systems languages)
Experience with container orchestration (Kubernetes, etc.)
Understanding of network protocols and distributed computing
Experience with observability and monitoring systems
About the hiring process :
Technical architecture discussion
Systems design deep dive
Coding and problem-solving session
Team collaboration interview
Infrastructure vision presentation
Compensation & Benefits :
Highly competitive salary and significant equity stake
Remote-first work environment
Full medical, dental, and vision coverage
Flexible PTO policy
Learning and development budget
Conference attendance support
This is a unique opportunity to shape the infrastructure that will power the next generation of AI systems. You'll be working at the intersection of distributed systems, AI, and platform design, creating the foundation for how future AI agents will interact and scale.
