Senior Staff AI Engineer
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Job Description
ML Engineer focusing on LLMs and developing scalable AI systems at Albert to innovate in chemical sciences. Collaborating with engineering teams to build robust solutions for researchers.
Responsibilities:
- 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.
- Build and maintain intelligent AI agents using modern frameworks.
- Collaborate with domain experts to refine agent capabilities for specific scientific workflows.
- Architect and maintain vector database solutions for efficient data storage and retrieval.
- Develop pipelines for ingestion, transformation, and storage to enable AI/ML workflows.
- Implement robust error-handling, monitoring, and alerting mechanisms to ensure system resilience.
- Troubleshoot and resolve system bottlenecks and failures.
- Design, implement, and maintain CI/CD pipelines for AI systems and data workflows.
- Stay informed on the latest trends and tools in AI/ML engineering and agent technologies.
- Work closely with AI/ML, data engineering, and platform teams to understand and deliver on technical requirements.
Requirements:
- A degree in Computer Science, AI, or a related field with 7+ years of industry experience (Bachelor’s) or 5+ years (Master’s or PhD) in software engineering, emphasizing expertise in building scalable, fault-tolerant AI systems.
- 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).
- Proven track record of deploying production-grade AI systems.
- Experience leading technical teams and fostering collaborative environments.
Benefits:
- We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too.
- We love distributed teams. Albert’s home-base is in the California Bay Area, but we have multiple offices and employees sprinkled around the globe. In fact, over 50% of our employees work outside of California! An international remote culture is in our DNA.
- We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day.
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