Lead II - Software Engineering

Role Overview: As a Lead II - Software Engineering specializing in AI, NLP, Python, and Data Science, you will be tasked with developing applications creatively, selecting appropriate technical options, and optimizing application development, maintenance, and performance. Your role will involve employing design patterns and reusing proven solutions while also supporting the Project Manager in day-to-day project execution. Key Responsibilities: - Design, implement, and optimize Large Language Model (LLM)-powered applications for enterprise use cases - Develop and maintain Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases and embedding model optimization - Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance - Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows - Research and evaluate the latest advancements in LLM and AI, recommending tools and architectures for continuous improvement - Preprocess, clean, and engineer features from large datasets to enhance model accuracy and efficiency - Conduct code reviews, enforce AI/ML engineering best practices, and document architecture, pipelines, and results for technical and business stakeholders Qualification Required: - 8-10 years of professional experience in AI/ML engineering, with a minimum of 4+ years in LLM development and deployment - Expertise in RAG architectures, vector databases, and embedding models - Proficiency in Python with familiarity in Java, R, or other relevant languages being a plus - Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and deployment tools - Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock, or Azure Machine Learning - Understanding of security concepts in AI systems, data processing, feature engineering, and working with large-scale datasets - Strong problem-solving skills, analytical thinking, and attention to detail - Excellent communication skills to explain complex AI concepts to diverse audiences Additional Details: Omit this section as no additional details of the company are present in the provided job description. Role Overview: As a Lead II - Software Engineering specializing in AI, NLP, Python, and Data Science, you will be tasked with developing applications creatively, selecting appropriate technical options, and optimizing application development, maintenance, and performance. Your role will involve employing design patterns and reusing proven solutions while also supporting the Project Manager in day-to-day project execution. Key Responsibilities: - Design, implement, and optimize Large Language Model (LLM)-powered applications for enterprise use cases - Develop and maintain Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases and embedding model optimization - Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance - Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows - Research and evaluate the latest advancements in LLM and AI, recommending tools and architectures for continuous improvement - Preprocess, clean, and engineer features from large datasets to enhance model accuracy and efficiency - Conduct code reviews, enforce AI/ML engineering best practices, and document architecture, pipelines, and results for technical and business stakeholders Qualification Required: - 8-10 years of professional experience in AI/ML engineering, with a minimum of 4+ years in LLM development and deployment - Expertise in RAG architectures, vector databases, and embedding models - Proficiency in Python with familiarity in Java, R, or other relevant languages being a plus - Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and deployment tools - Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock, or Azure Machine Learning - Understanding of security concepts in AI systems, data processing, feature engineering, and working with large-scale datasets - Strong problem-solving skills, analytical thinking, and attention to detail - Excellent communication skills to explain complex AI concepts to diverse audiences Additional Details: Omit this section as no additional details of the company are present in the provided job description.