Albert Invent
Senior Staff AI Engineer
Oakland, CA, Remote (United States) · Staff+
Sponsorship not specifiedDetected 18 days ago
FastAPIDistributed SystemsGitVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDLinuxPrometheusGrafanaAPI DevelopmentRESTMachine LearningAirflowData EngineeringLLMsRAGAgentic AILangGraphControls
About the role
- We are seeking a highly motivated and talented individual with a passion for AI/ML engineering and agent technologies.
- This role is central to the development of autonomous systems and tools tailored to chemical and materials science applications.
Responsibilities
- 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.
- Scalable AI System Development: Design, build, and maintain scalable, fault-tolerant AI systems leveraging OpenAI and Anthropic models.
- Develop RAG architectures to ensure efficient, high-performance information retrieval tailored to chemical and materials science.
- Optimize system performance to handle large-scale data and application demands.
- AI Agent Development: Build and maintain intelligent AI agents using modern frameworks.
- Collaborate with domain experts to refine agent capabilities for specific scientific workflows.
- Data Engineering and Integration: Architect and maintain vector database solutions for efficient data storage and retrieval.
- Develop pipelines for ingestion, transformation, and storage to enable AI/ML workflows.
- Collaborate with platform and ML engineers to integrate AI/ML models with backend systems.
Requirements
- Experience with fine-tuning and optimizing large language models (LLMs).
- Experience with data engineering tools (e.g., Airflow, Delta Lake, Dask).
Skills
- Stay informed on the latest trends and tools in AI/ML engineering and agent technologies.
- Contribute to architectural decisions that impact the overall platform ecosystem.
- An ability to prioritize system scalability and fault tolerance while focusing on innovative AI/ML solutions.
- A collaborative mindset and excellent communication skills.
- A commitment to quality and innovation in AI and data engineering.
- Advanced knowledge of modern AI frameworks (e.g., LangChain, LangGraph, AutoGen, Crew.ai).
- 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).
Benefits
- Preferred/Bonus Points Advanced degree in Computer Science, AI, or related fields.
Company info
- We are seeking an exceptional ML Engineer with a focus on LLMs and RAG systems.
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