Senior AI Workflow & Systems Engineer

New

Remote (Los Angeles based preferred)Full-TimeSenior

Salary70,000 - 160,000 USD per year

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Job Details

4–6+ years of experience in software, DevOps, or systems engineering with hands-on AI/ML focus.
Proficiency in Python and/or JavaScript/Node.js for production-grade applications.
Proven experience deploying and managing production applications on Vercel, AWS, or GCP.
Hands-on experience with LLMs, generative AI, and orchestration tools (e.g., n8n, Make, Zapier, LangChain).
Strong background in REST API integrations with robust edge-case handling.
Experience building or maintaining cloud-based agents and serverless infrastructure.
Solid understanding of CI/CD pipelines, environment management, and secrets handling.
Experience with vector databases and embedding-based retrieval.
Familiarity with production monitoring, logging, and alerting systems.
Strong autonomy with the ability to define scope and drive projects without dedicated product management.

Build and deploy LLM-powered applications and agent-based workflows to eliminate manual effort.
Design multi-step agentic pipelines including tool use, RAG, and structured outputs for production environments.
Integrate AI workflows with existing systems using REST APIs, webhooks, and custom integrations.
Own the deployment and management of AI applications on Vercel and cloud infrastructure.
Develop, maintain, and monitor resilient infrastructure, including serverless functions and logging.
Act as a cross-functional technical resource to debug and unblock teams building AI workflows.
Define scope and drive AI initiatives to completion in the absence of a dedicated product manager.
Document systems and audit AI workflows for reliability and performance improvements.

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