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Job Description
<p><p><b>Role Overview : </b><br/><br/>Were seeking a Staff Full Stack Engineer with 5+ years of experience to design and deliver enterprise-grade AI-driven applications.
The ideal candidate has strong full-stack engineering skills and hands-on experience deploying solutions powered by LLMs, NLP, and Generative AI.
This is a high-impact role spanning front-end, back-end, and cloud-native AI deployment.<br/><br/><b>Key Responsibilities : </b><br/><br/>- AI Integration : Build and integrate enterprise applications using LLMs, NLP, and Generative AI services.<br/><br/>- Full Stack Development : Design and maintain scalable front-end (React/Angular) and back-end (Node.js/Python) systems.<br/><br/>- API Architecture : Develop secure, high-performance RESTful APIs connecting AI models and enterprise services.<br/><br/>- Cloud & DevOps : Manage CI/CD pipelines and cloud deployments (AWS/GCP/Azure) with Docker, Kubernetes, and Jenkins.<br/><br/>- AI Model Deployment : Deploy and optimize AI/ML models (TensorFlow, PyTorch, Hugging Face) in production.<br/><br/>- Workflow Automation : Build Slack bots, web widgets, and integrations to enhance enterprise workflows.<br/><br/>- Collaboration & Innovation : Work cross-functionally with product and data teams while driving adoption of emerging AI technologies.<br/><br/><b>Qualifications : </b><br/><br/><b>Must-Have : </b><br/><br/>- 5+ years of experience in scalable full-stack development.<br/><br/>- Proficiency in React and/or Angular; Node.js and/or Python.<br/><br/>- Strong experience with cloud platforms (AWS, GCP, Azure).<br/><br/>- Proven DevOps expertise (Docker, Kubernetes, Jenkins).<br/><br/>- Solid understanding of API design and integration.</p><br/></p> (ref:hirist.tech)
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