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Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Build and refine AI-driven propensity models to predict customer behavior and optimize marketing strategies for a large telecom provider.
Builds and scales backend infrastructure for Google’s AI agent platform, enabling developers to create, deploy, and optimize enterprise-grade agents using GCP and AI workflows.
Build and deploy AI models for video understanding, processing, and analysis to enhance LinkedIn's professional network features.
Builds and optimizes Google Cloud’s Vertex AI infrastructure to improve GenAI model efficiency and performance.
Über uns It’s time to change. We change! Willkommen bei Auvaria, wo Leidenschaft, Teamgeist und Verantwortung unsere Kultur prägen. Wir sind ein mehrfach ausgezeichneter AWS Consulting & Engineering Partner mit…
Build and test agentic AI systems, integrating model APIs and workflows into backend or full-stack applications with governance and evaluation controls.
Design and implement agentic AI systems, integrating model APIs and multi-agent workflows to modernize B2B processes and build evaluation frameworks.
Design and build AI agents, multi-agent workflows, and backend services to integrate model APIs into user interfaces and modernize workflows.
Builds AI agents that integrate with multiple model providers, designs workflows, and implements evaluation frameworks for agent behavior and model performance.
Design and build AI agents, evaluate their behavior, and integrate LLMs into workflows and APIs for backend and UI use.
Design and build AI agents, workflows, and integrations; implement model governance and evaluate agent performance using GitHub workflows.
Build and integrate agentic AI features, workflows, and multi-agent systems while defining evaluations and governance policies for model behavior and deployment.
Design and build AI agents and multi-agent workflows, integrate model APIs, and modernize B2B processes with agent-driven automation.
Design and build AI agents, workflows, and integrations to automate B2B processes using modern cloud APIs and agentic tooling.
Builds AI agents that integrate multiple model providers, designs workflows, enforces policies, and deploys agent capabilities to user-facing interfaces.
Design and implement agentic AI workflows, integrations, and evaluations, ensuring model governance and secure deployment while modernizing B2B processes.
Design and build AI agents and multi-agent workflows, integrate LLM APIs, and implement evaluation frameworks for agentic systems.
Design and build AI agents, workflows, and evaluation frameworks, integrating model APIs and governance policies into B2B systems.
Design and implement agentic AI systems, integrating models and workflows into user-facing interfaces while ensuring governance and performance evaluations.
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