Senior AI/LLM Engineer

Key Responsibilities - Take ownership of the architecture design and development of scalable and distributed software systems, ensuring performance and reliability. - Translate complex business requirements into technical specifications and guide the team in the implementation of these specifications. - Lead the technical execution of projects, ensuring high standards of code quality, adherence to project deadlines, and efficient resource allocation. - Design, develop, and deploy LLM-based pipelines involving patterns like RAG and agentic workflows to enhance AI solutions. - Oversee the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment, with a focus on achieving product goals. - Utilize cloud services from AWS, Azure, and GCP to enhance system capabilities and ensure robust infrastructure support. - Implement DevOps practices using tools like Docker and Kubernetes to ensure seamless continuous integration and delivery. - Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices, fostering a culture of innovation and excellence. Overview - As an AI LLM Engineer Manager at a leading consulting firm in Bangalore, you will lead a team of talented engineers in the development of advanced AI solutions. - Your role will involve designing scalable architectures and ensuring the performance and reliability of AI-driven systems. - You will leverage your expertise in LLM solution development to collaborate with cross-functional teams, providing strategic technical guidance and spearheading innovation. - You will play a pivotal role in translating complex business requirements into effective technical solutions, driving the adoption of cutting-edge technologies in the consulting sector. - The ideal candidate will have a strong background in software development, with significant experience in LLM and traditional machine learning solutions. - You will utilize your extensive knowledge of cloud platforms such as AWS, Azure, and GCP, along with DevOps tools, to enhance our software development lifecycle. - Your leadership will be crucial in managing the complete software development lifecycle, from requirements analysis through to deployment, ensuring the highest standards of quality and efficiency. - Working in a hybrid mode from Bangalore, you will join a dynamic and innovative environment where your contributions will directly impact the success and growth of our client solutions. - Your role involves a blend of hands-on technical work and leadership, guiding your team to achieve strategic objectives and meet client expectations. - In this role, you will also focus on implementing best practices for software engineering and DevOps, ensuring continuous integration and delivery. - Your ability to communicate complex technical concepts clearly and effectively to a diverse audience will be essential in fostering a collaborative team environment and driving the continuous development and delivery of AI solutions in the consulting sector. 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 minimum of 1-2 years in LLM solution development. - Proficiency in Python and JavaScript, with strong coding skills and experience in API frameworks such as FastAPI and Django. - Extensive experience with cloud platforms, specifically AWS, Azure, or GCP, and DevOps tools including Docker and Kubernetes. - Strong knowledge of LLM patterns like RAG, Vector DB, and agent development, with experience in using LLM APIs and SDKs such as OpenAI and Langchain. - Experience with Agile methodology and software engineering practices, including version control (GIT) and DevOps workflows (Azure DevOps preferred). - Excellent communication skills, with the ability to convey complex technical concepts effectively to a diverse audience.