This role is critical for building foundational systems that enable self-service AI-powered software engineering and democratizing access to trusted data models
Job Summary
This role is critical for building foundational systems that enable self-service AI-powered software engineering and democratizing access to trusted data models.
You will build custom workflows leveraging GCP services like Vertex AI and Dataflow while supporting the full lifecycle of AI/ML workloads from preparation to deployment.
The team focuses on creating a modern platform for data and AI/ML to drive scalable insights and optimize global user engagement across Priceline's travel products.
Matching Summary
Match Score: 75
This role is critical for building foundational systems that enable self-service AI-powered software engineering and democratizing access to trusted data models.
Skills & Requirements
Must-have
GCP Dataflow Dataproc Composer Vertex AI
Deep learning TensorFlow PyTorch frameworks
Python development for AI-powered apps
Kubernetes GKE GitOps deployment workflows
LLM RAG pipelines vector stores prompt management
Nice-to-have
LangChain LangGraph agent frameworks
Arize LangSmith LiteLLM monitoring tools
ArgoCD Codefresh image-based deployment
Splunk New Relic Pagerduty alerting systems
Experience with scalable evaluation pipelines
Key Requirements
Bachelor's Degree in Computer Science or relevant experience
4–6 years of experience in Cloud-native software engineering
Strong proficiency in Python or similar object oriented programming language