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Urgent! Full Stack Engineer Job Opening In ajit – Now Hiring The Future of Voice

Full Stack Engineer



Job description

Join a team that’s redefining how people and machines communicate.

We’re building advanced Conversational AI platforms and intelligent automation systems that power the next generation of AI-driven contact centers, enterprise assistants, and government service platforms .

As our Full Stack Developer, you’ll architect the backbone of these systems — building real-time applications that connect speech AI, large language models, and data intelligence into one seamless user experience.

This is not a typical web dev role — it’s full-stack engineering at the edge of AI innovation.

You’ll work with real-time speech streaming, LLM pipelines, and GPU-powered infrastructures that push what’s technically possible.


Key Responsibilities

  • Build and maintain web and admin dashboards (React/Next.js, FastAPI/Django) for AI agent management, live call analytics, and data visualizations.

  • Develop secure, scalable backend APIs for LLM, speech AI, and CRM integrations.

  • Work with AI and Speech teams to integrate voice, NLP, and RAG pipelines into user-facing systems.

  • Optimize real-time systems for low-latency AI interactions and concurrent user loads.

  • Collaborate with DevOps for continuous integration and deployment across cloud and on-prem GPU servers .

  • Ensure strong code quality, modularity, and security through best practices and automated testing.



Preferred Project Experience

  • Minimum 4 years development
  • 4+ ye
  • ars of hands-on experience thriving in demanding, fast-moving project settings where precision and speed matterBuilt
  • scalable AI-enabled web apps or S aaS tools in production.Integ
  • rated LLM APIs, spe ech models, or vector databases in l ive environments.Exper
  • ience with real-time streaming (WebSockets, WebRTC) and async event-driven systems.Depl o
  • yed in hybrid setups (AWS/Azure + on-prem GPU servers).



  • Minimum Qualification

    • Bachelor’s degree in Computer Science, Information Technology, or Software Engineering.



    Preferred Qualification

    • Master’s degree in Computer Science, Data Engineering, or AI Systems Development.

    • Certifications in Cloud (AWS/Azure/GCP) or Full-Stack Development .

    • Advanced coursework or experience in distributed systems or AI integrations .



    Skills:

    • Strong analytical and problem-solving skills.

    • Excellent communication and collaboration abilities.

    • Ability to translate complex technical concepts to non-technical stakeholders.

    • Proactive, self-starter with a passion for building impactful AI solutions.


Required Skill Profession

Other General



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