AI Data & Infrastructure Engineer
Core
Design, build, and operate scalable AI data systems and core platform services for enterprise GenAI and agentic AI capabilities, specifically for manufacturing operations.
Role type
Senior IC AI Data & Infrastructure Engineer
Builds
Scalable batch and streaming data pipelines, cloud/Kubernetes environments, and AI agent workflows for manufacturing automation.
Domain
Manufacturing / Industrial IoT / Generative AI
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Java, Spark, PySpark, Kafka, Airflow, Ray, Pandas, Kubernetes, Docker, CI/CD, Infrastructure as Code, AWS/Azure/GCP, RAG architectures, Vector databases, LLM integration
Preferred skills
Scala, Kubeflow, MLflow, Iceberg, Delta Lake, Manufacturing domain expertise, IoT data platforms, API design for LLMs
Technologies
Spark, PySpark, Kafka, Airflow, Ray, Pandas, Iceberg, Delta Lake, Kubernetes, Docker, AWS, Azure, GCP
Responsibilities
Develop and orchestrate scalable batch and streaming data pipelines; Provision and maintain cloud, Kubernetes, and infrastructure-as-code environments; Enable manufacturing workflow automation through AI agents; Apply AI-assisted coding tools and review generated code; Lead technical initiatives and mentor engineers.
Seniority
Senior, hands-on IC with leadership responsibilities