AI and Machine Learning Full Stack Engineer

LLM Full Stack Engineer Project Role : LLM Full Stack Engineer Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. Must have skills : Machine Learning (ML) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with advanced language models and various enterprise systems. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through continuous integration and delivery practices. The engineer collaborates with cross-functional teams to enhance the performance and scalability of artificial intelligence solutions, while continuously refining the user experience and operational efficiency of the deployed applications. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather requirements and translate them into technical solutions. - Maintain and improve existing applications by identifying bottlenecks and implementing optimizations. - Support junior team members by sharing knowledge and assisting in problem-solving. - Ensure adherence to best practices in coding, testing, and deployment to maintain high-quality deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Experience with developing and integrating APIs to connect front-end and back-end systems. - Familiarity with DevOps methodologies and tools to automate deployment and monitoring processes. - Strong understanding of artificial intelligence application development and optimization. - Ability to work with both server-side and client-side technologies to deliver full stack solutions. Additional Information: - The candidate should have minimum 3 years of experience in Machine Learning (ML). - This position is based at our Mumbai office. - A 15 years full time education is required. LLM Full Stack Engineer Project Role : LLM Full Stack Engineer Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. Must have skills : Machine Learning (ML) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with advanced language models and various enterprise systems. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through continuous integration and delivery practices. The engineer collaborates with cross-functional teams to enhance the performance and scalability of artificial intelligence solutions, while continuously refining the user experience and operational efficiency of the deployed applications. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather requirements and translate them into technical solutions. - Maintain and improve existing applications by identifying bottlenecks and implementing optimizations. - Support junior team members by sharing knowledge and assisting in problem-solving. - Ensure adherence to best practices in coding, testing, and deployment to maintain high-quality deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Experience with developing and integrating APIs to connect front-end and back-end systems. - Familiarity with DevOps methodologies and tools to automate deployment and monitoring processes. - Strong understanding of artificial intelligence application development and optimization. - Ability to work with both server-side and client-side technologies to deliver full stack solutions. Additional Information: - The candidate should have minimum 3 years of experience in Machine Learning (ML). - This position is based at our Mumbai office. - A 15 years full time education is required.