What are the responsibilities and job description for the AI Engineer position at kadence?
AI Engineer - Infra/Platform
Join a team building the next generation of AI-powered enterprise applications. You'll design, build, and deploy production AI systems that help customers automate complex workflows, retrieve knowledge, and make better decisions using large-scale enterprise data.
What You'll Do
- 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.
What We're Looking For
- 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.
*The role is remote, however only accepting candidates in EST time zones at this time.