Voice Agent Developer

8 years

0 Lacs

chandigarh india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

developer ai stack python node.js react scaling architecture latency fastapi django react.js communication design postgresql mysql mongodb redis openai aws azure containerization docker monitoring data security compliance programming flask express.js management ml model optimization tuning quantization inference sql nosql storage gcp github gitlab logging api saas signal development video

Work Mode

Remote

Job Type

Full Time

Job Description

We’re Hiring: Lead Voice AI Full-Stack Engineer (Python/Node.js/React, AI Optimization)

AI-powered voice applications


next-generation Voice AI Agent platform

end-to-end technical journey

🔹 Responsibilities
  • Architect and build the

    Voice AI platform

    (backend + frontend + infra).
  • Optimize

    STT/TTS pipelines

    for latency, accuracy, and cost.
  • Develop

    backend services

    in Python (FastAPI/Django) and Node.js (Express/NestJS).
  • Build a

    React.js frontend

    with real-time communication (WebRTC, LiveKit).
  • Design/manage

    databases

    (PostgreSQL/MySQL, MongoDB, Redis, plus vector DBs like Pinecone/Weaviate).
  • Integrate

    LLMs/NLP

    (OpenAI, Claude, LLaMA, RAG pipelines).
  • Deploy on

    AWS/Azure/GCP

    with containerization (Docker/Kubernetes).
  • Implement

    CI/CD pipelines

    , monitoring, observability, and cost optimization.
  • Ensure

    data security, compliance, and scalability

    .
🔹 Required Skills

Programming & Frameworks

  • Python (FastAPI, Flask, Django)
  • Node.js (Express.js, NestJS)
  • React.js (hooks, state management, real-time integrations)
  • WebRTC, LiveKit, or Twilio

AI/ML & Voice

  • STT/TTS engines: Whisper, Deepgram, AssemblyAI, ElevenLabs, Coqui
  • LLMs: GPT, Claude, LLaMA
  • RAG pipelines (embeddings, vector search, memory)
  • Model optimization (fine-tuning, quantization, inference cost reduction)

Databases & Storage

  • SQL: PostgreSQL, MySQL
  • NoSQL: MongoDB, DynamoDB
  • Caching: Redis
  • Vector DBs: Pinecone, Weaviate, FAISS
  • Cloud storage/CDN: AWS S3, CloudFront, GCP Storage

Cloud & Infra

  • AWS, Azure, or GCP
  • Docker, Kubernetes
  • CI/CD (GitHub Actions, GitLab CI, Jenkins)
  • Monitoring/Logging: Grafana, Prometheus, CloudWatch, ELK stack
  • Real-time infra scaling & cost optimization

Bonus Skills

  • Strong API design & integrations
  • Multi-tenant SaaS experience
  • Audio signal processing
  • Prior work in

    AI assistants, EdTech, or conversational platforms

🔹 Who You Are
  • 5–8+ years full-stack development experience.
  • Hands-on with

    Python, Node.js, React, databases, and cloud infra

    .
  • Proven expertise in

    real-time voice/video applications

    .
  • Strong in

    optimization & scaling

    (performance vs. cost).
  • Entrepreneurial mindset, able to

    own the full technical roadmap

    .

Location:

How to Apply:

Voice AI platform

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Salary: Not disclosed

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