AI LLM Engineer - Assistant Manager

Key Responsibilities - Lead the design and development of scalable, distributed AI-driven software systems, ensuring high performance and reliability. - Translate complex business requirements into technical specifications and guide the engineering team in their implementation. - Oversee the technical execution of projects, ensuring adherence to high standards of code quality and project deadlines. - Develop and deploy LLM-based pipelines, enhancing AI solutions with patterns like RAG and agentic workflows. - Manage the full software development lifecycle, from requirements analysis to deployment, with a focus on achieving defined product goals. - Leverage cloud platforms such as AWS, Azure, and GCP to enhance system capabilities and maintain robust infrastructure support. - Implement DevOps practices using tools like Docker and Kubernetes to ensure seamless integration and continuous delivery. - Collaborate with cross-functional teams, conduct code reviews, and provide mentorship to foster a culture of innovation and technical excellence. Overview - The AI LLM Engineer Manager at our leading consulting firm in Bangalore will play a crucial role in spearheading the development of cutting-edge AI-driven solutions. - Tasked with leading a team of skilled engineers, this role focuses on designing scalable, reliable architectures to meet client needs. - With the consulting firm's commitment to innovation, the manager will be responsible for translating complex business requirements into actionable technical strategies. - The emphasis is on leveraging state-of-the-art AI technologies and cloud platforms to enhance performance and system capabilities. - This position requires a dynamic leader with extensive experience in software development, particularly in the realm of AI and large language models (LLM). - The manager will ensure the effective execution of projects, maintaining high standards of code quality and project management. - The role demands a strong acumen in both technical and leadership skills to foster a high-performance culture within the team. - Our firm prides itself on delivering exceptional consulting services by integrating advanced AI technologies. - The AI LLM Engineer Manager will play an instrumental role in driving this mission forward, contributing to our legacy of excellence in the consulting sector. - The manager will be expected to innovate, strategize, and implement AI technologies that align with our strategic goals and client expectations. - In this leadership position, the manager will collaborate with cross-functional teams to ensure seamless integration and execution of AI solutions. - The role requires an individual who is adept at navigating the complexities of AI technologies while driving innovation and excellence within the team. Requirements - Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience. - At least 7 years of experience in software development, with a focus on AI and LLM solution development. - Proficiency in Python and JavaScript, with experience in API frameworks like FastAPI and Django. - Extensive experience with cloud platforms, specifically AWS, Azure, or GCP, and DevOps tools such as Docker and Kubernetes. - Strong understanding of LLM patterns like RAG, Vector DB, and agent development, with experience using LLM APIs and SDKs such as OpenAI and Langchain. - Experience with Agile methodologies and software engineering practices, including version control (GIT) and DevOps workflows, preferably with Azure DevOps. - Excellent communication skills, capable of conveying complex technical concepts to diverse audiences effectively.