Senior AI Engineer
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El puesto
Own end-to-end architecture of AI services, data pipelines, and inference systems to deliver scalable, secure AI-powered capabilities.
Design and implement Model Control Protocols (MCPs), AI Agents, and AI Workflows to standardize model lifecycle, governance, and observability.
Lead PoCs from ideation through design, build, evaluation, and handoff to production teams, establishing engineering best practices.
Develop modular AI framework components, reusable TypeScript SDKs, and performance optimizations (batching, caching, quantization).
Collaborate with AI researchers on model selection, tuning, prompt engineering, guardrails, and integration of LLMs with business logic (retrieval, grounding, tool-use).
Ensure security, privacy, and compliance (PII handling, RBAC, auditability) while delivering reliable, cost-conscious operations.
Design and implement Model Control Protocols (MCPs), AI Agents, and AI Workflows to standardize model lifecycle, governance, and observability.
Lead PoCs from ideation through design, build, evaluation, and handoff to production teams, establishing engineering best practices.
Develop modular AI framework components, reusable TypeScript SDKs, and performance optimizations (batching, caching, quantization).
Collaborate with AI researchers on model selection, tuning, prompt engineering, guardrails, and integration of LLMs with business logic (retrieval, grounding, tool-use).
Ensure security, privacy, and compliance (PII handling, RBAC, auditability) while delivering reliable, cost-conscious operations.
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