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# AI Engineer

- **Company:** Kadence Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, AI Infrastructure, Large Language Models, Multi-Agent Systems, Backend, Machine Learning Operations, Golang
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pecget5irc

## About the Role

* 8+ years of software engineering, AI, or machine learning experience.
 * Strong backend engineering skills in Python, Go, C#, or TypeScript.
 * Hands-on experience building production AI applications using LLMs, RAG, and agentic workflows.
 * Experience with multi-agent orchestration, tool calling, MCP, or similar AI frameworks.
 * Experience building or owning AI evaluation, benchmarking, observability, or monitoring frameworks for production AI systems.
 * Strong experience with cloud infrastructure, distributed systems, APIs, CI/CD, and MLOps/LLMOps.
 * Comfortable owning projects end to end in a fast-moving environment.

ⓘ View potential timezone restrictions

## Description

* Build production AI applications using LLMs, RAG, agentic workflows, and enterprise data.
 * Design and implement multi-agent systems that coordinate models, tools, enterprise workflows, and external data sources.
 * Build scalable backend services, APIs, and cloud-native AI infrastructure.
 * Develop AI evaluation, testing, benchmarking, and observability frameworks to ensure production AI systems are reliable, accurate, and scalable.
 * Design, prototype, deploy, and monitor AI solutions from concept through production.
 * Partner with product, engineering, and domain experts to solve complex enterprise problems.
 * Lead technical design discussions and contribute reusable AI frameworks and best practices.


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