ML Engineer - LLM/Agent Technologies LangGraph

Job not on LinkedIn

July 4

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Albert Invent

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Artificial Intelligence • Biotechnology • Science

Albert Invent is an end-to-end platform that digitalizes synthesis, formulation, and materials science for the age of AI. It combines capabilities like inventory management, Electronic Lab Notebooks (ELN), Lab Information Management Systems (LIMS), and regulatory intelligence to streamline research and development processes. Trusted by thousands of chemists across 36 countries, Albert Invent enhances productivity and accelerates innovation in chemical research through the use of advanced AI and machine learning technologies.

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🧬 Biotechnology

🔬 Science

💰 Seed Round on 2023-06

📋 Description

• 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. • 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. • 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. • Implement robust error-handling, monitoring, and alerting mechanisms to ensure system resilience. • Collaborate with domain experts to refine agent capabilities for specific scientific workflows.

🎯 Requirements

• A Masters or PhD in Chemistry, Chemical Engineering, or related field with 8-10+ years of industry experience, emphasizing expertise in building scalable, fault-tolerant AI/ML systems. • Advanced knowledge of modern AI frameworks (e.g., LangChain, LangGraph, AutoGen, Crew.ai) with a demonstrated track record of deployed agent applications. • Experience with vector databases (e.g., Pinecone, Milvus, Pgvector, ChromaDB). • Strong understanding of distributed systems and microservices architecture. • Proficiency in REST API development using FastAPI REST Framework or similar tools. • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). • Proven track record of deploying production-grade AI systems. • Experience leading technical teams and fostering collaborative environments. • Background in chemical and materials science applications leveraging data science. • Contributions to open-source AI projects. • Experience with fine-tuning and optimizing large language models (LLMs). • Expertise in system monitoring and observability tools (e.g., Prometheus, Grafana). • Experience with data engineering tools (e.g., Airflow, Delta Lake, Dask). • Familiarity with Unix scripting and version control systems (e.g., Git). • Prior experience working in AI/ML-focused environments using tools such as Ray, Torch, Kubeflow. • Experience mentoring junior developers/engineers in best practices.