Senior AI/ML Software Engineer
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The role
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.
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