AI Engineer

Kadence Inc.

United States

13 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

arc.dev

Tech stack

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

+5 more

Large Language Models Multi-Agent Systems Backend Machine Learning Operations Golang

Job 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.

Requirements

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.

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