AI Backend Engineer (AI Workflow Systems)
New
USFull-Time
Salary not disclosed
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Job Details
- Required Skills
- Node.jsPythonRESTful APIsDistributed Systems
Requirements
- Strong backend engineering experience building production-grade distributed systems.
- Hands-on experience with high-throughput, low-latency services and scalable backend architectures.
- Familiarity with AI systems such as LLMs, embeddings, or AI-powered workflows.
- Solid understanding of system design principles, APIs, and data flow architecture.
- Experience working with observability tools including logging, metrics, tracing, and monitoring systems.
- Strong debugging skills with the ability to diagnose and resolve production issues in distributed environments.
- Proficiency with backend technologies such as Python or Node.js.
- Experience working in fast-paced, high-ownership, globally distributed engineering teams.
- Strong ownership mindset with a focus on shipping reliable production systems.
Responsibilities
- Design, build, and operate backend systems that power AI-driven insurance and workflow automation in production.
- Develop AI orchestration layers that connect LLMs, APIs, backend services, and business logic into unified systems.
- Build and optimize inference pipelines for LLM-based and AI-assisted workflows, including batching, caching, and routing strategies.
- Ensure system reliability through observability practices such as logging, monitoring, tracing, and alerting.
- Debug and resolve production issues across distributed AI systems, identifying root causes and implementing long-term fixes.
- Define and maintain stable service boundaries between backend, ML components, and product APIs.
- Collaborate closely with product, frontend, operations, and ML teams to deliver end-to-end AI features.
- Continuously improve system performance, scalability, cost efficiency, and operational stability.
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