We are seeking a Senior AI / Cloud Engineer to implement and extend Real-Time Call Listening and Agent Assist platform built using Google Contact Center AI (CCAI).
The role also involves contributing to broader AI and Generative AI solution architecture, including the design and evolution of event-driven, cloud-native services that leverage enterprise-approved LLMs to deliver real-time insights, guidance, and automation across contact center and agent-facing applications.
Key Responsibilities
Maintain and evolve event-driven contact center services built on CCAI and Google Cloud Platform that process real-time customer interactions and deliver contextual insights, recommendations, or guidance to agent-facing applications during live engagements.
Design and implement GenAI solution architectures using enterprise-approved LLMs and cloud platformsDefine reference architectures for GenAI components (LLMs, vector stores, APIs, orchestration layers)
Required Skills & Experience
Core Focus (Must-Have)Hands-on experience with Google Cloud Platform, especially Contact Center AI (CCAI), Agent Assist, DialogflowPub/Sub, Cloud Run, IAM, service accounts
Experience building or supporting real-time / streaming systemsStrong backend development skills (Python)Docker and cloud-native microservicesGenerative AI / ML (Required)
Experience delivering LLM-based solutions in productionFamiliarity with RAG architectures, vector search, and evaluationPrompt engineering and response quality tuning
Understanding of responsible AI, privacy, and security considerations
Nice to Have
Telephony or contact-center platforms (SIPREC, Genesys, VoIP)Redis or other low-latency data storesKubernetes / HelmAzure services (AKS, Azure OpenAI) in hybrid cloud setups
Observability tools (logging, metrics, tracing)
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