Full-Stack AI Engineer (AI Generalist)

Role Overview: As a Full-Stack AI Engineer at our company, your primary responsibility will be to design, develop, and deploy scalable AI-powered applications. You will need to have a strong foundation in modern web technologies, cloud infrastructure, and Large Language Models (LLMs). Your expertise in AI concepts, frameworks, and deployment strategies will be crucial in delivering high-quality products. Key Responsibilities: - Architect and implement AI-driven web applications using Python, Next.js, React, and Node.js. - Design and deploy scalable backend systems and microservices on AWS and Vercel. - Build and integrate LLM-based solutions, including RAG pipelines for real-time insights. - Develop secure APIs and data ingestion pipelines for chatbot training and document Q&A systems. - Apply AI generalist knowledge to select, fine-tune, and deploy models for NLP, CV, and recommendation systems. - Optimize application performance, reduce operational latency, and ensure cost-effective cloud deployments. - Collaborate with cross-functional teams to define technical vision and deliver high-quality products. Qualification Required: - Full-Stack Development skills in Python, Next.js, React, Node.js, and PostgreSQL. - Cloud Expertise in AWS services (EC2, S3, Lambda, VPC) and serverless architecture. - AI Generalist Skills with an understanding of ML/DL fundamentals (classification, regression, clustering). - Experience with frameworks like TensorFlow, PyTorch, Hugging Face. - Familiarity with model fine-tuning and deployment strategies. - Hands-on experience with LLMs, RAG pipelines, and generative AI. - Strong problem-solving and communication skills. Any additional details of the company: Unfortunately, there are no additional details of the company provided in the job description.,