Posted on: 18/11/2025
Key Responsibilities :
- Design, build, and optimize conversational flows, intents, and entities in Dialogflow CX/ES.
- Integrate Dialogflow agents with Vertex AI, LLMs, and Generative AI models via APIs.
- Develop backend logic using Python, Node.js, or Java for webhooks and system integrations.
- Work with REST APIs, gRPC, and JSON for seamless data exchange across systems.
- Implement CI/CD pipelines using Cloud Build, Artifact Registry, GitHub Actions, or Jenkins for automated deployments.
- Deploy and manage applications using GCP services such as Cloud Run, App Engine, Cloud Functions, Cloud Storage, Firestore, BigQuery, Pub/Sub, IAM, and Service Accounts.
- Monitor system performance using Cloud Logging, Cloud Monitoring, and Error Reporting.
- Build end-to-end automation workflows leveraging AI Agents, RPA tools, Google Workflows, and Cloud Composer.
Required Technical Skills :
- Expertise in Dialogflow CX/ES development (intents, entities, fulfillment).
- Strong hands-on experience integrating LLMs and Generative AI with chatbots.
- Proficiency in Python, Node.js, or Java.
- Solid understanding of REST APIs, gRPC, JSON.
- Experience with CI/CD tools and DevOps practices.
- Strong command over GCP ecosystem and microservices deployment.
- Experience with automation frameworks (AI Agents, RPA, Workflows, Cloud Composer).
Preferred Qualifications :
- Prior experience building enterprise-grade chatbots or automation systems.
- Strong analytical, problem-solving, and debugging skills.
- Ability to collaborate with cross-functional teams and deliver high-impact solutions.
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Posted By
Posted in
Full Stack
Functional Area
ML / DL Engineering
Job Code
1576543
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