Albert Invent

Platform Engineer

• You'll own the APIs, data pipelines, and workflow orchestration that power our AI products—from real-time model inference to long-running optimization pipelines.
• This role sits at the intersection of backend engineering and data engineering: you'll build the services that serve up models, manage workflows, and connect AI capabilities to the structured data that makes them useful.
• You'll work closely with our Active Learning and LLM/Agents team leads, translating their product vision into scalable, production-grade systems.
• The infrastructure you build will power model playgrounds for chemists, inverse design pipelines that optimize experiments across high-dimensional spaces, and orchestrated agent workflows that reason through complex scientific problems.
• Design and build high-performance Python APIs that serve models, manage workflows, and expose AI capabilities to the broader platform
• Architect backend services for scalability, reliability, and low latency
• Build integrations between AI/ML systems, graph databases, and external data sources
• Build and maintain long-running workflow pipelines using Ray and Temporal.
• Design orchestration patterns for multi-step agent pipelines, batch inference, and numerical optimization workflows
• Ensure fault tolerance, graceful degradation, and efficient resource utilization.
• Architect and maintain data pipelines that feed AI/ML workflows
• Work with Neptune (graph), Redis, DynamoDB, and other data stores to enable efficient data access patterns
• Implement observability including logging, metrics, tracing, and alerting
• Own system reliability—troubleshoot issues, conduct post-mortems, and continuously improve.
• Design CI/CD pipelines and promote automation best practices.

Staff AI/ML Platform Engineer

AI Engineer

• 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.

Senior Staff AI Engineer

Machine Learning Engineer

• Design, deploy, and maintain Kubernetes infrastructure supporting AI/ML workloads
• Manage containerized services, autoscaling, networking, and resource optimization
• Design and build high-performance Python APIs and services using FastAPI or similar frameworks
• Architect backend systems for scalability, reliability, and low latency
• Build integrations between AI/ML systems and the broader Albert platform
• Build and operate distributed systems that handle compute-intensive and high-throughput workloads
• Design for fault tolerance, graceful degradation, and horizontal scalability
• Implement async workflows, job queues, and task orchestration as needed
• Architect and maintain data pipelines and storage systems supporting AI/ML workflows
• Implement observability including logging, metrics, tracing, and alerting
• Own system reliability—troubleshoot issues, conduct post-mortems, and continuously improve
• Design CI/CD pipelines and promote automation best practices
• Partner closely with ML engineers to understand requirements and deliver production-ready infrastructure
• Translate ML prototypes and research code into scalable, maintainable systems

Staff AI/ML Platform Engineer

Senior Staff AI Engineer

Staff ML Ops Engineer