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Full Stack Engineer

Full Stack Engineer

The Future of Voicedehradun, India
2 days ago
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-en abled web apps or S aaS tools in production.Integ
  • rated LLM A PIs, spe ec h models, or vecto r 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.
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