Full Stack Engineer

2 days ago

Jodhpur, India The Future of Voice Full time

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 ResponsibilitiesBuild 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 ExperienceMinimum 4 years development 4+ years of hands-on experience thriving in demanding, fast-moving project settings where precision and speed matterBuilt scalable AI-enabled web apps or SaaS tools in production.Integrated LLM APIs, speech models, or vector databases in live environments.Experience with real-time streaming (WebSockets, WebRTC) and async event-driven systems.Deployed in hybrid setups (AWS/Azure + on-prem GPU servers).Minimum QualificationBachelor’s degree in Computer Science, Information Technology, or Software Engineering.Preferred QualificationMaster’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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