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AI Backend Engineer - AI Workflow Systems

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

This role involves designing and building backend infrastructure for production-grade AI systems. The successful candidate will deliver high-performance AI workflows with a focus on latency, scalability, and correctness. Strong backend engineering experience and hands-on experience with AI systems are required.

Key Highlights
Design and build backend infrastructure for AI systems
Deliver high-performance AI workflows with focus on latency and scalability
Collaborate with cross-functional teams to deliver end-to-end AI features
Key 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
Technical Skills Required
Python Node.js AI systems
Benefits & Perks
Competitive salary package
Fully remote work
Opportunity to build and scale production AI systems

Job Description

This role sits at the core of building and operating production-grade AI systems that power real-world insurance and financial workflows.You will design backend infrastructure that orchestrates AI models, APIs, and business logic into reliable end-to-end automation systems.The position focuses on delivering high-performance AI workflows where latency, scalability, and correctness directly impact user experience.You will work across distributed systems, connecting machine learning outputs with backend services and product-facing applications.A key part of the role involves building and optimizing inference pipelines for LLM-based and AI-assisted automation features.
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