onsite
AI Engineer - Intone Networks
AI Engineer
Senior AI Engineer building and operating AI/ML infrastructure, designing MCP servers and agents, integrating large language models, and deploying scalable, cost‑efficient solutions on Kubernetes and Google Cloud.
About the role
Key Responsibilities
- Design, build, and operate MCP servers and agents to host, orchestrate, and monitor AI/agent workloads.
- Develop agentic AI solutions, including prompt engineering patterns and LLM integrations, for production use.
- Implement Retrieval‑Augmented Generation (RAG) pipelines and related tooling.
- Own deployment, scaling, reliability, and cost‑efficiency on Kubernetes/Docker and Google Cloud.
- Automate CI/CD pipelines to ensure rapid, reliable delivery of AI services.
Requirements
- Proven experience designing and operating AI/ML infrastructure at scale.
- Strong proficiency in Python, Kubernetes, Docker, and Google Cloud Platform.
- Hands‑on experience with large language models, RAG, and prompt engineering.
- Solid understanding of CI/CD practices and automated deployment.
- Excellent problem‑solving skills and ability to work in a hybrid environment.
Skills
pythonkubernetesdockerragcicd