Staff GenAI Engineer
Core
Lead the architecture, design, and deployment of scalable AI-driven platforms and products, integrating machine learning and Generative AI models into production-grade applications.
Role type
Staff GenAI Engineer (hands-on IC with architectural ownership)
Builds
AI-powered SaaS products, LLM-based systems, RAG architectures, and agentic workflows
Domain
Generative AI, Machine Learning, Cloud-Native Backend Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Generative AI, LLM orchestration, RAG architectures, agentic workflows, microservices, Docker, Kubernetes, Terraform, PostgreSQL, MongoDB, CI/CD pipelines, cloud-native deployment strategies
Preferred skills
Experience mentoring technical teams, client-facing consulting, AI-Native Engineering tool usage (Cursor, GitHub Copilot, Claude Code)
Technologies
LangChain, Google ADK, AWS, Azure, GCP, Docker, Kubernetes, Terraform, PostgreSQL, MongoDB, Cursor, GitHub Copilot, Claude Code
Responsibilities
Lead architecture and design of scalable backend systems integrating ML/GenAI; Drive end-to-end delivery of GenAI solutions from experimentation to production; Design and implement agentic AI systems with multi-step reasoning and tool calling; Collaborate with data scientists to train, fine-tune, and deploy ML models; Lead development of backend microservices and APIs; Ensure production readiness including performance optimization, monitoring, and security; Define cloud-native deployment strategies; Mentor engineers and lead cross-team initiatives
Seniority
Staff, hands-on IC with strategic leadership
