Lead AI Platform Engineer (Python, Cloud & GenAI)
Core
Design, build, and operate production-grade AI platforms and cloud-native systems enabling teams to deploy scalable intelligent applications.
Role type
Lead AI Platform Engineer (Python, Cloud & GenAI)
Builds
Reusable engineering frameworks, microservices, GenAI applications, and cloud infrastructure on GCP.
Domain
Enterprise Software Engineering, Cloud Infrastructure, Generative AI
Deliverable
production ML models
Required skills
Python, Google Cloud Platform (GCP), Microservices Architecture, Distributed Systems, Generative AI, LLM Integration, RAG, Infrastructure as Code, DevOps, System Design, Technical Leadership
Preferred skills
Agentic AI, Vector Databases, Model Serving, AI Evaluation
Technologies
Python, FastAPI, Flask, Terraform, GKE, Cloud Run, BigQuery, Pub/Sub, Vertex AI, pytest
Responsibilities
Design and develop high-performance Python services; Architect scalable microservices and APIs; Lead design of distributed, event-driven systems; Define testing strategies and engineering quality standards; Create reusable libraries and SDKs; Implement cloud-native architectures on GCP; Architect scalable data infrastructure; Establish infrastructure-as-code and CI/CD practices; Implement observability and SLOs; Drive cloud security and cost optimization; Design and build GenAI applications with LLMs; Build RAG pipelines; Define AI evaluation standards; Design model serving and inference architectures; Define patterns for agentic AI systems; Mentor engineers and lead technical reviews.
Seniority
Senior, hands-on IC with leadership responsibilities
