100% Remote :: Min 15+ Years Exp :: AI/ML Engineer :: only W2

Key Responsibilities: • Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning. • Work extensively with Large Language Models (LLMs) to build and refine AI powered features. • Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects. • Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities. • Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment. • Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces. • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases. Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field. • A minimum of 10 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must. • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems. Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG) • Strong proficiency in Python for backend development and machine learning. • Solid experience with React for frontend development. • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL. • Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform. • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment. • Experience in taking over existing AI/ML applications from other teams. • Estimate at a high level cost of usage in Google Cloud Platform for applications hosted/deployed • Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production Other Qualifications: • Familiarity with Amazon Web Services (AWS), LLM models trending in the industry. • A portfolio of projects demonstrating your expertise in AI and full-stack development. Apply tot his job Apply To this Job