AI developer
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Role details
Tech stack
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Requirements
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Strong hands-on experience designing and deploying enterprise conversational AI agents using GECX / Dialogflow CX. \n
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Deep understanding of Dialogflow CX capabilities including flows, intents, state handlers, route groups, condition rules, webhook fulfillment, context/session management, and generative capabilities. \n
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Strong Python development experience. \n
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Hands-on development experience with C#/.NET, TypeScript, JavaScript, and Node.js. \n
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Experience building REST APIs, webhooks, microservices, and asynchronous integrations. \n
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Strong automated testing experience across APIs, backend services, and conversational AI solutions. \n
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Advanced experience building and maintaining Azure DevOps CI/CD pipelines, including YAML pipelines and automated deployment processes. \n
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Hands-on experience integrating enterprise applications with ServiceNow REST APIs and Azure services. \n
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Strong SQL development and relational database experience. \n
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Experience with prompt engineering, intent classification, conversational context management, fallback orchestration, and human escalation patterns. \n
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Experience working within SAFe Agile environments, including PI Planning and Agile Release Train dependencies. \n
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Strong Git-based software-development experience and proficiency with modern development environments such as VS Code. \n
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Understanding of enterprise security practices including OAuth2, RBAC, API security, and secrets management. \n
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Strong troubleshooting, analytical, communication, and cross-functional collaboration skills. \n
Benefits & conditions
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Experience with Google Vertex AI and generative AI capabilities. \n
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Experience with Contact Center AI (CCAI) architectures. \n
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Experience integrating conversational AI with telephony or voice platforms. \n
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Knowledge of SRE practices, telemetry, observability, monitoring, and AIOps. \n
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Experience with Docker and Kubernetes. \n
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Experience deploying serverless solutions using Google Cloud Run, Google Cloud Functions, or Azure Functions. \n
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Experience supporting large-scale, highly available enterprise AI or conversational platforms. \n
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Tools & Technologies
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Conversational AI: GECX / Dialogflow CX, Vertex AI, LLMs, Generative AI
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