Senior AI/ML Software Engineer

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.