"Senior AI/ML Engineer Key Responsibilities: • Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. • Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. • Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. • Leverage AWS Bedrock and other AWS services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. • Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. • Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. • Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. • Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. • Implement responsible AI practices, incorporating guardrails and moderation mechanisms. • Collaborate with cross-functional teams to translate AI insights into impactful solutions. • Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: • 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. • Expertise in AWS services, particularly AWS Bedrock and Lambda functions. • Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. • Deep understanding of LangChain components and advanced NLP techniques. • Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. • Familiarity with best practices in system design, including security, performance optimization, and scalability. • Proven ability to write high-quality production code and work in collaborative environments."