Senior AI/ML Software Engineer
职位介绍
Architect and build agentic AI systems and the MCP server layer that securely exposes tools, knowledge, and actions to LLM agents.
Own the end-to-end ML lifecycle—from data processing and modeling to deployment, observability, and safety.
Set platform standards for reliability, security, and developer experience across AI/ML tooling.
Operate in cloud environments (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD, and modern observability.
Develop and optimize GenAI capabilities, including prompting, retrieval (RAG, vector search), and model fine-tuning (LoRA).
Collaborate with cross-functional teams to ship MCP servers integrating internal tools and external SaaS, and manage data pipelines.
Own the end-to-end ML lifecycle—from data processing and modeling to deployment, observability, and safety.
Set platform standards for reliability, security, and developer experience across AI/ML tooling.
Operate in cloud environments (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD, and modern observability.
Develop and optimize GenAI capabilities, including prompting, retrieval (RAG, vector search), and model fine-tuning (LoRA).
Collaborate with cross-functional teams to ship MCP servers integrating internal tools and external SaaS, and manage data pipelines.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
已有账户? 登录
相似职位
其他可能适合您的职位。
城市Milpitas, United States