ML Engineer at Albert

Setup: Remote, Hybrid
Location: Oakland, California
Type: Full-time
Posted: Jan 27, 2026

Description

Albert is seeking an experienced ML Engineer specializing in Large Language Models (LLMs) and agent technologies. The role involves designing and developing scalable, fault-tolerant AI systems, building intelligent AI agents, architecting vector database solutions, implementing reliable system mechanisms, and promoting automation through CI/CD pipelines. The engineer will collaborate with cross-functional teams to deliver impactful AI/ML solutions for chemical and materials science.

Required Skills

AI/ML engineering
agent technologies
LLMs
RAG systems
scalable AI systems
fault-tolerant AI systems
OpenAI and Anthropic models
LangChain
LangGraph
AutoGen
Crew.ai
vector databases
Pinecone
Milvus
Pgvector
ChromaDB
distributed systems
microservices architecture
REST API development
FastAPI REST Framework
cloud platforms
AWS
GCP
Azure
containerization technologies
Docker
Kubernetes

Additional Information

Required Previous Experiences: 7+ years of industry experience (Bachelor’s)
5+ years (Master’s or PhD) in software engineering
Preferred Qualifications: Advanced degree in Computer Science, AI, or related fields.
Background in chemical and materials science applications.
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.