Senior AI Engineer (GenAI)

BS/MS in Computer Science, Information Technology, or related field with 5+ years of experience in software engineering. 2+ years focused specifically on LLM/GenAI system development and deployment. Proven experience scaling LLMs from R&D into production with strong attention to reliability and performance. Deep understanding of prompt engineering, plugin orchestration, and agent-based frameworks. Proficiency with AWS infrastructure—SageMaker, Lambda, EKS/ECS, DynamoDB. Experience with orchestration and deployment tools like LangChain, Ray, or similar LLMOps frameworks. Familiarity with real-time multi-modal systems involving speech, vision, or avatar interfaces. Systems-thinking mindset with a strong commitment to maintainability and observability. Excellent communication skills in English (C1 preferred, strong B2 may be considered).

Architect and scale production-grade LLM systems with a focus on reliability, latency, and predictability. Design and implement LLM orchestration systems, including plugin APIs and agent workflows. Optimize and support multi-modal GenAI components such as voice, NLP, and visual modules. Manage cloud infrastructure on AWS (SageMaker, Lambda, EKS/ECS, DynamoDB). Monitor and ensure LLM service performance using observability and monitoring tools. Translate R&D models into robust, enterprise-ready AI products. Contribute to platform architecture and roadmap planning. Mentor team members and promote a collaborative engineering culture.