ML Engineer (LLM/Agent Technologies) - Senior I/II

Location: US Remote or Bay Area 

Welcome to the AI/ML team at Albert Invent! We are a fast-growing and innovative company revolutionizing the chemical industry through a cutting-edge data management and AI platform. As an ML Engineer specializing in LLMs and agent technologies, you will play a critical role in our mission to streamline workflows and provide robust, scalable solutions that support AI/ML capabilities for thousands of researchers worldwide. This role is central to the development of autonomous systems and tools tailored to chemical and materials science applications. 

We are seeking a highly motivated and talented individual with a passion for AI/ML engineering and agent technologies. In this role, you will unleash your creativity, intelligence, and curiosity to build scalable AI systems that empower researchers and chemists at leading chemical and materials organizations to push the boundaries of innovation. 

At Albert Invent, we value collaboration, creativity, and a drive to make a real impact in the world. If you are looking for a dynamic and exciting work environment, where you can contribute to the growth of a rapidly growing startup and make a real difference in the chemical industry, then we encourage you to apply! 

Position Overview: We are seeking an exceptional ML Engineer with a focus on LLMs and RAG systems. This role prioritizes designing and developing scalable, fault-tolerant AI systems while maintaining a strong focus on domain-specific AI solutions. You will play a critical role in building robust infrastructure to support high-performance applications and tools, enabling seamless data integration and transformation to power AI/ML capabilities in chemical and materials science. 

Performance Objectives: Here is what you will be doing as an ML Engineer at Albert Invent: 

·      Scalable AI System Development: 

o   Design, build, and maintain scalable, fault-tolerant AI systems leveraging OpenAI and Anthropic models. 

o   Develop RAG architectures to ensure efficient, high-performance information retrieval tailored to chemical and materials science. 

o   Optimize system performance to handle large-scale data and application demands. 

·       AI Agent Development: 

o   Build and maintain intelligent AI agents using modern frameworks. 

o   Collaborate with domain experts to refine agent capabilities for specific scientific workflows. 

·       Data Engineering and Integration: 

o   Architect and maintain vector database solutions for efficient data storage and retrieval. 

o   Develop pipelines for ingestion, transformation, and storage to enable AI/ML workflows. 

o   Collaborate with platform and ML engineers to integrate AI/ML models with backend systems. 

·       System Reliability and Fault Tolerance: 

o   Implement robust error-handling, monitoring, and alerting mechanisms to ensure system resilience. 

o   Troubleshoot and resolve system bottlenecks and failures. 

·       CI/CD and Deployment Pipelines: 

o   Design, implement, and maintain CI/CD pipelines for AI systems and data workflows. 

o   Promote automation and best practices to enhance the development lifecycle. 

·       Adoption of Emerging Technologies: 

o   Stay informed on the latest trends and tools in AI/ML engineering and agent technologies. 

o   Introduce and implement new technologies to improve system scalability, data integration, and developer