Senior Developer

As a Google Gen AI developer, you will be responsible for the following: Role Overview: You will work on ADK & A2A protocol to define use cases, deployment methods, and reasons for implementing agentic AI solutions. Additionally, you will develop generative AI playbooks focusing on hallucination overcoming techniques and filters to eliminate irrelevant context from user interactions. Your role will also involve enhancing distribution capabilities by implementing scalability and streaming mechanisms using tools such as Vertex AI, Datastore, Serverless container, cloud logging, GCS bucket, and BigQuery. Moreover, you will handle release management tasks for bot, frontend, and backend code, utilizing Git, Bitbucket, and OCP CI/CD pipeline. Furthermore, you will engage in Infrastructure as Code (IaaC) using Terraform. Key Responsibilities: - Work on ADK & A2A protocol to deploy agentic AI solutions effectively. - Develop generative AI playbooks with hallucination overcoming techniques and context filters. - Enhance distribution capabilities by implementing scalability and streaming mechanisms. - Manage release cycles for bot, frontend, and backend code using Git, Bitbucket, and OCP CI/CD pipeline. - Implement Infrastructure as Code (IaaC) using Terraform. Qualifications Required: - Proficiency in ADK & A2A protocol and generative AI techniques. - Experience in deploying and managing distribution capabilities using cloud services. - Strong understanding of release management practices and CI/CD pipelines. - Familiarity with Infrastructure as Code (IaaC) tools like Terraform. This job requires a candidate with a solid technical background in AI development, distribution systems, release management, and Infrastructure as Code. As a Google Gen AI developer, you will be responsible for the following: Role Overview: You will work on ADK & A2A protocol to define use cases, deployment methods, and reasons for implementing agentic AI solutions. Additionally, you will develop generative AI playbooks focusing on hallucination overcoming techniques and filters to eliminate irrelevant context from user interactions. Your role will also involve enhancing distribution capabilities by implementing scalability and streaming mechanisms using tools such as Vertex AI, Datastore, Serverless container, cloud logging, GCS bucket, and BigQuery. Moreover, you will handle release management tasks for bot, frontend, and backend code, utilizing Git, Bitbucket, and OCP CI/CD pipeline. Furthermore, you will engage in Infrastructure as Code (IaaC) using Terraform. Key Responsibilities: - Work on ADK & A2A protocol to deploy agentic AI solutions effectively. - Develop generative AI playbooks with hallucination overcoming techniques and context filters. - Enhance distribution capabilities by implementing scalability and streaming mechanisms. - Manage release cycles for bot, frontend, and backend code using Git, Bitbucket, and OCP CI/CD pipeline. - Implement Infrastructure as Code (IaaC) using Terraform. Qualifications Required: - Proficiency in ADK & A2A protocol and generative AI techniques. - Experience in deploying and managing distribution capabilities using cloud services. - Strong understanding of release management practices and CI/CD pipelines. - Familiarity with Infrastructure as Code (IaaC) tools like Terraform. This job requires a candidate with a solid technical background in AI development, distribution systems, release management, and Infrastructure as Code.