Generative AI Engineer
Core
Lead the architecture, development, and deployment of AI-driven platforms and products, blending hands-on engineering with system design ownership.
Role type
Staff Software Engineer / Staff GenAI Engineer
Builds
Scalable backend systems, end-to-end GenAI solutions (LLM-based systems, RAG pipelines, agentic workflows), and AI-powered SaaS products.
Domain
Generative AI, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
System design, backend engineering, Python, LLM integration, RAG pipeline design, agentic workflow orchestration, microservices architecture, data pipeline design, SQL/NoSQL data architecture, cloud-native architecture, containerization, CI/CD, infrastructure as code, incident management, technical mentorship
Preferred skills
None stated
Technologies
Python, PostgreSQL, MongoDB, AWS, Azure, GCP, Docker, Kubernetes, Terraform
Responsibilities
Lead design and development of scalable backend systems integrating ML and GenAI models; Architect and deliver end-to-end GenAI solutions from prototype to production; Design and build agentic AI systems with multi-step reasoning and tool usage; Develop and scale microservices and APIs; Collaborate with data scientists to train, fine-tune, evaluate, and deploy models at scale; Define and implement cloud-native architectures; Establish containerization standards; Build and maintain CI/CD pipelines; Act as DRI for major architectural initiatives; Mentor engineers through code reviews and career guidance
Seniority
Staff, hands-on IC with leadership