Remote Senior AI Agent Systems Engineer

Bazeta; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Kraken is hiring a Senior Software Engineer for Agent Systems. Join a fast-moving team building AI-powered agents that automate internal workflows and orchestrate complex data across internal APIs.

You will prototype rapidly, then productionize the most valuable approaches, while ensuring reliability and observability at scale. Responsibilities include designing inference pipelines, integrating with internal data sources, and shaping the security and safety layers for agent execution across the

Qualifications

• 5+ years of experience building and shipping production software systems.
• Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
• Experience building fullstack systems, with comfort across backend and frontend surfaces.
• Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production.
• Ability to prototype rapidly while maintaining production-grade architecture.
• Strong systems thinking — orchestration, failure modes, observability.

Responsibilities

• Build and ship AI-powered agent systems that automate internal workflows and decision paths.
• Design and implement inference pipelines that reason over user interactions across internal systems.
• Prototype quickly to validate agent behaviors, then productionize what proves valuable.
• Architect backend services that integrate with multiple internal APIs and data sources.
• Define patterns for safe, observable, and controllable agent execution.
• Collaborate cross-functionally to identify high-leverage automation opportunities.

Skills

Backend APIs

Distributed systems

Data modeling

Fullstack

AI/ML

LLMs

Inference pipelines

Prototype to production

Observability

0→1 thinking

Job description

Kraken is hiring a Senior Software Engineer for Agent Systems. Join a fast-moving team building AI-powered agents that automate internal workflows and orchestrate complex data across internal APIs.

You will prototype rapidly, then productionize the most valuable approaches, while ensuring reliability and observability at scale. Responsibilities include designing inference pipelines, integrating with internal data sources, and shaping the security and safety layers for agent execution across the