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Designs, prototypes, and deploys AI-powered solutions for public sector clients, building functional systems with LLMs and agentic workflows in rapid iteration cycles.
Design and develop AI agent workflows, build prompt strategies and tool integrations, run experiments, and ship production code for LLM-powered systems.
Design and build AI agent workflows, integrate tools and APIs, and optimize agent performance for production use cases at scale.
Builds evaluation infrastructure and automated pipelines to ensure AI agents perform reliably in enterprise audit workflows at scale.
Design and ship Claude-powered AI agent systems end-to-end to automate complex workflows, build MCP connectors, and upgrade existing automations with AI capabilities.
Owns evaluation infrastructure and automated pipelines to ensure AI agents perform reliably at enterprise scale across audit workflows.
Builds and ships AI agent workflows, LLM-powered components, and backend integrations while running experiments and optimizing system performance.
Design and build AI agent workflows, integrate tools and APIs, and iterate on agent quality, latency, and reliability for production systems.
Build and maintain evaluation infrastructure and automated pipelines to ensure AI agents perform reliably across enterprise audit workflows.
Senior consultant who identifies AI use cases, translates business needs into AI requirements, and supports implementation of responsible AI initiatives for enterprise clients.
Uses Claude AI to build and maintain internal tools, oversee processes, and execute operational improvements for a digital marketing agency.
Works with customers to deploy, architect, and optimize production AI agent systems and LLM-based applications.
Lead technical strategy and execution for deploying voice AI models to edge computing and defense environments, managing hardware integration and on-premises deployments.
Designs, builds, and deploys LLM-powered agents within Databricks to automate business workflows across analytics, marketing, and data engineering functions.
Designs, builds, and deploys LLM-powered agents within Databricks to automate decision-making across marketing, testing, and data engineering workflows.
Design, build, and deploy LLM-powered agents within Databricks to automate decision-making across marketing, analytics, and data engineering workflows.
Operates and maintains dLocal's AI ecosystem in production, managing LLM systems, agentic workflows, prompt libraries, RAG systems, and AI infrastructure across the organization.
Lead enterprise-wide AI transformation program, coordinate divisional champions, govern AI initiatives across business functions, and ensure coherent implementation of AI tools and workflows.
Operates and maintains AI systems in production, manages AI stack including LLMs and agents, ensures reliability and performance across the organization.
Director leads AI engineering teams building production AI systems for GRC workflows while staying hands-on with architecture, code reviews, and prototyping LLMs and agents.