AI/ LLM Engineer (Consultant)

Key Responsibilities - Take ownership of architecture design and development of scalable, distributed software systems, ensuring high performance and reliability. - Translate complex business requirements into technical specifications to guide development efforts. - Lead technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation across projects. - Design, develop, and deploy LLM-based pipelines using patterns like RAG and Agentic workflows, optimizing for performance and scalability. - Oversee the complete software development lifecycle, from requirements analysis to deployment, ensuring robust and efficient solutions. - Utilize cloud services from AWS, Azure, or GCP, including IAM, Monitoring, Load Balancing, and Autoscaling, to enhance system capabilities. - Implement and uphold DevOps practices using tools like Docker and Kubernetes to facilitate continuous integration and delivery. - Collaborate with cross-functional teams, conduct code reviews, and provide mentorship on software design and engineering best practices. Overview - As a Senior AI/LLM Engineer at our esteemed consulting firm based in Bangalore, you will spearhead the development of innovative AI solutions, focusing on language model technologies. - This pivotal role places you at the cutting edge of AI advancements, where you will utilize your expertise to shape scalable and efficient software architectures. - You will engage with cross-functional teams to translate complex business needs into technical specifications, ensuring our solutions are both robust and aligned with client objectives. - Your contributions will not only drive technological innovation but also enhance our firm's reputation as a leader in AI consulting. - This position requires deep proficiency in AI and machine learning, particularly in the application and development of Large Language Models (LLM). - You will be responsible for overseeing the architecture design and technical execution of software systems, ensuring they meet high standards of performance and reliability. - As a senior engineer, you will also mentor junior team members, fostering a culture of excellence and continuous learning. - In collaboration with our clients, you will design, develop, and deploy LLM-based solutions, optimizing them for performance and scale. - Your role will also involve leveraging cloud platforms such as AWS, Azure, or GCP to enhance system capabilities, using services like IAM, Monitoring, and Load Balancing. - You will play a crucial role in implementing DevOps practices to streamline development processes, employing tools like Docker and Kubernetes for continuous integration and deployment. - Your ability to lead technical projects and ensure adherence to agile methodologies will be key to your success in this role. Requirements - Bachelor’s degree in Computer Science, Information Technology, or equivalent work experience in a related field. - A minimum of 5 years of experience in software development, with significant experience in LLM application development. - Strong proficiency in Python and JavaScript, with experience in API frameworks such as FastAPI and Django. - Deep experience in cloud platforms, especially AWS, Azure, or GCP, and familiarity with their services. - Proven experience with LLM patterns including RAG, Vector DB, and agent development, and tools like Langchain and DSPy. - Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services such as Redshift and RDS. - Demonstrated experience in deploying scalable applications in production environments, with a focus on security and compliance.