Agent Engineer

Job Description

**Position:** Agent Engineer  

**Location:** San Francisco, CA (On-site)  

**Employment Type:** Full-Time  

**Experience Required:** 5 Years  

**About the Role**  
We are seeking an experienced Agent Engineer to build and scale the agent and workflow layer behind a cloud-based creative platform. The ideal candidate has experience shipping production AI or backend systems, understands agent runtime behavior, and can design reliable model orchestration beyond basic prompt-based applications.  

This role focuses on developing intelligent workflow systems that integrate multiple AI models, tools, and services across image, video, audio, text, and other creative workflows.  

**Key Responsibilities**  

* Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution.
* Orchestrate multiple AI models and providers across various generation workflows.
* Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems.
* Develop workflow memory systems that preserve project context, assets, templates, style preferences, and previous outputs.
* Implement evaluation frameworks, regression testing, benchmarking, human review workflows, and quality metrics.
* Improve production reliability through queue management, monitoring, cancellation handling, progress tracking, and graceful recovery mechanisms.
* Collaborate with cross-functional teams to deliver scalable and user-friendly AI workflow solutions.

**Required Qualifications**  

* 3 years of experience building and shipping AI, agent-based, backend, infrastructure, or production software systems.
* Strong proficiency in Python and/or TypeScript.
* Experience with backend development, databases, queues, observability, and production reliability practices.
* Hands-on experience with agent architectures, including planning, tool use, memory, retrieval, context management, and workflow execution.
* Experience orchestrating multiple AI models and providers, including routing, retries, fallbacks, latency optimization, and cost management.
* Experience building evaluation frameworks, regression testing systems, quality metrics, or A/B testing environments.
* Strong problem-solving skills and ability to work in a fast-paced environment.
* Ability to work on-site in San Francisco.

**Preferred Qualifications**  

**Creative AI Systems**  

* Experience working with image, video, audio, TTS/STT, lipsync, upscaling, or related generative AI pipelines.
* Experience maintaining reliable generation workflows at scale.

**Workflow \& Runtime Systems**  

* Experience with workflow engines, node-based systems, visual programming environments, automation runtimes, or similar platforms.
* Strong understanding of queues, state management, retries, and recovery mechanisms.

**Quality \& Evaluation**  

* Experience designing AI evaluation systems, regression testing, human review workflows, and benchmarking frameworks.
* Ability to measure and improve AI output quality in production environments.

**What Success Looks Like**  

* Building reliable agent workflows that scale efficiently in production.
* Improving workflow quality, reliability, and user experience.
* Delivering robust orchestration across multiple AI systems and providers.
* Establishing strong evaluation and monitoring practices for AI behavior.