Senior Software Engineer, AI Agent Systems (Remote)

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United States

Remote

USD 140,000 - 190,000

Full time

48 hours ago
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Job summary

Kraken is seeking a Senior Software Engineer for Agent Systems to build AI-powered agents that automate internal workflows. The role covers design of inference pipelines, rapid prototyping, and productionizing valuable behaviors across internal tools.

You will work closely with product, infrastructure, and operations to deploy agent-driven capabilities, with a focus on scalable, observable, and safe execution as the system grows.

Qualifications

  • 5+ years of experience building and shipping production software systems.
  • Experience building fullstack systems, with comfort across backend and occasional frontend surfaces.
  • Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production.
  • Ability to prototype rapidly while maintaining a clear path to production-grade architecture.
  • Strong systems thinking — able to reason about orchestration, failure modes, and observability.
  • Comfort operating in ambiguous, 0→1 environments with high ownership.

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
  • Improve system speed, reliability, and signal quality as usage scales
  • Contribute to foundational design decisions for a 0→1 agent platform

Skills

Fullstack development
AI/ML systems
Prototype to production
System architecture
Observability
Ownership in 0→1 projects

Job description

Kraken is seeking a Senior Software Engineer for Agent Systems to build AI-powered agents that automate internal workflows. The role covers design of inference pipelines, rapid prototyping, and productionizing valuable behaviors across internal tools.

You will work closely with product, infrastructure, and operations to deploy agent-driven capabilities, with a focus on scalable, observable, and safe execution as the system grows.

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