Senior Full Stack Developer with Voice AI Infrastructure (Google Cloud Platform, Azure & AWS)

Senior Full Stack Developer with Voice AI Infrastructure (Google Cloud Platform, Azure & AWS)

Posted 1 day ago by 1753966591

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Summary: The Senior Full Stack Developer will focus on designing and maintaining robust API integrations for the Convrz AI platform, utilizing cloud technologies across Google Cloud Platform, Azure, and AWS. This role involves developing full-stack systems, engineering voice AI infrastructure, and ensuring security and compliance in data handling. The position is remote and reports directly to the Co-Founder & CTO.

Key Responsibilities:

  • Custom API & Platform Integration: Designing, building, and maintaining robust, scalable API integrations.
  • Full Stack Systems: Developing UIs (React, Next.js) and backend services (Node, FastAPI, Python).
  • Voice AI Infrastructure: Engineering cloud-agnostic, low-latency voice pipelines.
  • Cloud Wizardry: Architecting and maintaining serverless and containerized infrastructure.
  • Agent Runtime & Workflows: Managing LLM orchestration and vector search within client workflows.
  • Real-Time Operations: Implementing observability dashboards and AI-powered monitoring.
  • Security & Compliance: Upholding security standards for data in transit and handling encrypted voice data.

Key Skills:

  • 5+ years of full-stack development experience.
  • Deep expertise in cloud platforms (AWS, Google Cloud Platform, Azure).
  • Strong command of microservices, REST APIs, WebSockets, and streaming data.
  • Proven experience with voice technologies (STT, TTS, ASR, NLP).
  • Solid understanding of secure deployment practices and token-based authentication.
  • Familiarity with LLM orchestration and vector databases.
  • Experience with telephony integration or ML pipeline deployment.
  • Experience with specific industry APIs.
  • Backend Engineering & API Orchestration skills.
  • Knowledge of WebRTC, LiveKit, or low-latency audio protocols.
  • Familiarity with HIPAA, SOC2, PCI compliance.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Senior Full Stack Developer

Voice AI Infrastructure (Google Cloud Platform, Azure & AWS)

Contract to hire

Location: Remote

Team: Core Engineering Conversational AI Platforms

Reports to: Co-Founder & CTO

What You ll Own

  • Custom API & Platform Integration: Your primary focus will be designing, building, and maintaining robust, scalable API integrations. You will connect the Convrz AI platform with a diverse ecosystem of third-party services and enterprise client systems (e.g., CRMs, EHRs, booking engines, and proprietary software).
  • Full Stack Systems: Develop sleek UIs (React, Next.js) and real-time backend services (Node, FastAPI, Python) that support our integration frameworks and core agent capabilities.
  • Voice AI Infrastructure: Engineer cloud-agnostic, low-latency voice pipelines using WebRTC/SIP and modern STT/TTS engines to power our integrated solutions.
  • Cloud Wizardry: Architect and maintain the serverless and containerized infrastructure (Terraform, Pulumi) across Google Cloud Platform, Azure, and AWS that underpins our APIs.
  • Agent Runtime & Workflows: Power the "brain" of our AI agents by managing LLM orchestration (LangChain) and vector search (Pinecone) within integrated client workflows.
  • Real-Time Operations: Implement cutting-edge observability dashboards, anomaly detection, and AI-powered monitoring to ensure our agents and integrations are always-on.
  • Security & Compliance: Uphold the highest standards of security for data in transit, handling encrypted voice data, tokenized access, and PII/PHI protection across all integrations.

What You Bring

  • 5+ years of full-stack development, with significant experience in building and maintaining custom APIs.
  • Deep expertise in cloud platforms (AWS, Google Cloud Platform, Azure) and hands-on experience with Docker, Kubernetes, and CI/CD.
  • Strong command of microservices, REST APIs, WebSockets, and streaming data.
  • Proven experience with voice technologies (STT, TTS, ASR, NLP) and audio formats.
  • A solid understanding of secure deployment practices and token-based authentication (OAuth, JWT).

MUST HAVE

  • Familiarity with LLM orchestration (LangChain, LlamaIndex), RAG agents, and vector databases (Pinecone, Qdrant).
  • Experience with telephony integration (Twilio, RingCentral, Genesys) or ML pipeline deployment (Triton, HuggingFace Inference).
  • Experience with specific industry APIs (e.g., Salesforce, HubSpot, Epic, Sabre).

Core Skillsets

  • Backend Engineering & API Orchestration
  • Node.js (TypeScript preferred) or Python: For implementing server-side logic and leveraging Vapi s SDKs.
  • RESTful API mastery: To integrate third-party STT, TTS, and LLM models via Vapi s BYOM capability.
  • Webhooks & Real-time APIs: Handling Vapi s event-driven architecture and real-time call interactions.
  • Function Calling (Tool Use): To let agents trigger backend services like CRMs, booking systems, or data fetchers.

Voice AI Familiarity

  • Experience working with:
  • STT: Deepgram, Whisper, Google STT.
  • LLMs: OpenAI, Claude, Mistral, Anthropic.
  • TTS: ElevenLabs, PlayHT, Azure TTS.
  • Understanding of latency optimization and real-time audio handling.

Frontend Development for Web & Mobile Embedding

  • React.js / Next.js (for Web integrations).
  • Flutter or React Native (if you plan mobile integrations).
  • Experience with client-side SDKs: Starting/stopping calls, assistant state control, mic management.

Kubernetes + DevOps Knowledge

  • Kubernetes (K8s): Since Vapi runs on scalable K8s clusters.
  • Docker: For containerized deployments, especially for on-prem setups.
  • CI/CD pipelines: To deploy, monitor, and scale voice agents.
  • Comfort managing GPU-enabled cloud infra (AWS EC2 w/ A100s etc.).

Real-Time Audio & Networking

  • Knowledge of WebRTC, LiveKit, or low-latency audio protocols.
  • Experience with real-time streaming, especially under 700ms voice loop targets.

Security & Compliance

  • Familiarity with HIPAA, SOC2, PCI compliance if deploying for healthcare or finance.
  • Experience managing VPCs, IAM roles, and secure API keys.

Siva Kumar. CH

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