Architect reliable data pipelines and application programming interfaces that guarantee traceable data lineage and smooth automated platform integration.
Design production AI systems where LLMs, RAG and agents are part of the live product, not just internal tools. That includes agent planning, memory, permissions, observability, fallbacks and human-in-the-loop controls.
Explore the integration of LLMs with marketing, recommendation, and advertising — including self-trained Transformers, generative recommendation, generative marketing, marketing agents, cross-lingual financial intent, and AI-driven automated strategy/modeling.
Partner closely with IC design teams to ensure to deliver comprehensive technical specifications, rigorous benchmark reports, and high-value patent proposals.
Change Management: Managing changes to project scope, timelines, or resources, assessing the impact of changes, and implementing change control processes to maintain project integrity and minimize disruptions. Adapt delivery choices as technologies and business priorities evolve, while supporting the adoption of new AI-enabled ways of working.
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Are you passionate about building modern applications and managing cloud infrastructure? We're looking for a Full-Stack Engineer (DevOps / Cloud) to join our team and help develop, maintain, and scale cloud-native applications powered by GenAI technologies.