Quick overview
Job description
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Architect and scale end-to-end Gen AI, LLM, and NLP solutions leveraging Google Cloud Platform Vertex AI and Google CCAI (Dialogflow CX, Agent Assist, and Insights).
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Design robust frontend interfaces and dashboards using React and TypeScript for conversational consoles and AI toolchains.
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Develop production-grade microservices, custom pipelines, and data workflows using Python.
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Lead solution design, API integrations, and secure enterprise data flows across cloud ecosystems.
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Provide technical leadership, mentor engineering teams, and enforce best practices in prompt engineering, model tuning, and clean architecture.
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Experience: 8–10 years in software/data engineering, with at least 3 years of experience delivering NLP, LLM, or conversational AI systems.
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Google Cloud Platform & AI Stack: Deep expertise in Google CCAI, Vertex AI, Cloud Functions, BigQuery, and IAM.
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Programming & Frontend: Advanced Python skills with solid hands-on experience in React and TypeScript.
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Integration & Architecture: Proven experience with REST/gRPC API integration, event-driven architectures, and distributed systems design.
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Leadership: Ability to guide cross-functional teams, conduct code reviews, and translate business requirements into technical blueprints.
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Technical Expertise: Google CCAI product expertise, Vertex AI, solution design, API integration, and technical leadership
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