Full-Stack AI Engineer

You will be responsible for architecting and implementing AI-driven web applications using Python, Next.js, React, and Node.js. Additionally, you will design and deploy scalable backend systems and microservices on AWS and Vercel. Building and integrating Large Language Model (LLM)-based solutions, including RAG pipelines for real-time insights, will also fall under your key responsibilities. Furthermore, you will develop secure APIs and data ingestion pipelines for chatbot training and document Q&A systems. Your role will also involve applying AI generalist knowledge to select, fine-tune, and deploy models for Natural Language Processing (NLP), Computer Vision (CV), and recommendation systems. Optimizing application performance, reducing operational latency, and ensuring cost-effective cloud deployments will be crucial tasks. Collaboration with cross-functional teams to define technical vision and deliver high-quality products is also expected. Qualifications Required: - Full-Stack Development expertise in Python, Next.js, React, Node.js, and PostgreSQL. - Cloud proficiency in AWS services such as EC2, S3, Lambda, VPC, and serverless architecture. - AI Generalist Skills including understanding of Machine Learning (ML) and Deep Learning (DL) fundamentals like classification, regression, clustering. - Experience with frameworks like TensorFlow, PyTorch, and Hugging Face, with familiarity in model fine-tuning and deployment strategies. - Hands-on experience with Large Language Models (LLMs), RAG pipelines, and generative AI. - Strong problem-solving and communication skills. In addition to the qualifications mentioned, preferred qualifications include experience with Docker, GraphQL, and React Native. Certifications in Generative AI, AWS, or Full-Stack Development are also desired. Prior experience as a technical founder or in startup environments would be an advantage. You will be responsible for architecting and implementing AI-driven web applications using Python, Next.js, React, and Node.js. Additionally, you will design and deploy scalable backend systems and microservices on AWS and Vercel. Building and integrating Large Language Model (LLM)-based solutions, including RAG pipelines for real-time insights, will also fall under your key responsibilities. Furthermore, you will develop secure APIs and data ingestion pipelines for chatbot training and document Q&A systems. Your role will also involve applying AI generalist knowledge to select, fine-tune, and deploy models for Natural Language Processing (NLP), Computer Vision (CV), and recommendation systems. Optimizing application performance, reducing operational latency, and ensuring cost-effective cloud deployments will be crucial tasks. Collaboration with cross-functional teams to define technical vision and deliver high-quality products is also expected. Qualifications Required: - Full-Stack Development expertise in Python, Next.js, React, Node.js, and PostgreSQL. - Cloud proficiency in AWS services such as EC2, S3, Lambda, VPC, and serverless architecture. - AI Generalist Skills including understanding of Machine Learning (ML) and Deep Learning (DL) fundamentals like classification, regression, clustering. - Experience with frameworks like TensorFlow, PyTorch, and Hugging Face, with familiarity in model fine-tuning and deployment strategies. - Hands-on experience with Large Language Models (LLMs), RAG pipelines, and generative AI. - Strong problem-solving and communication skills. In addition to the qualifications mentioned, preferred qualifications include experience with Docker, GraphQL, and React Native. Certifications in Generative AI, AWS, or Full-Stack Development are also desired. Prior experience as a technical founder or in startup environments would be an advantage.