AI Data & Infrastructure Engineer
Core
Design, build, and operate scalable AI data systems and infrastructure to power enterprise GenAI and Agentic AI capabilities for manufacturing operations.
Role type
Senior IC AI Data & Infrastructure Engineer
Builds
Scalable AI data platforms, services, APIs, and data pipelines for manufacturing automation
Domain
Manufacturing operations, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Distributed systems, parallel computing, performance optimization, Python, SQL, Java/Scala, Airflow, Kubeflow, MLflow, Spark (PySpark), Kafka, Ray, Pandas, modern data lake/lakehouse (Iceberg, Delta Lake), RAG architectures, embedding generation, vector databases, cloud platforms (AWS/Azure/GCP), Kubernetes, Docker, CI/CD, Infrastructure as Code
Preferred skills
Generative AI, LLMs, Agentic Systems, RAG workflows, API design, manufacturing/operational/IoT data platforms, technical leadership
Technologies
Python, SQL, Java, Scala, Airflow, Kubeflow, MLflow, Spark, Kafka, Ray, Pandas, Iceberg, Delta Lake, AWS, Azure, GCP, Kubernetes, Docker
Responsibilities
Create robust, scalable architectures for data orchestration; Design and maintain scalable AI data platforms and APIs; Develop data ingestion, transformation, and publishing pipelines; Design and implement RAG pipelines, embedding workflows, and vector database integrations; Build tools for observability, understanding, and debugging of complex AI systems; Optimize platform scalability, reliability, performance, security, and cost
Seniority
Senior, hands-on IC
