AI & Agentics System Engineer

As a multi-disciplinary AI & Agentic Systems Engineer at Memorae, you will have a high-impact role at the intersection of deep learning, agentic reasoning, and platform architecture. Your responsibilities will include: - Architecting and deploying deep learning systems to power intelligent, context-aware experiences. - Building multi-system AI pipelines that orchestrate tools, APIs, and memory-based reasoning. - Designing agentic flows to empower users through automation, delegation, and real-time decision-making. - Writing and iterating on modular prompts for various LLMs tailored to specific tasks and use cases. - Re-architecting platform components to support scale, maintainability, and evolving AI features. - Collaborating cross-functionally to align AI behaviors with product goals and UX principles. You should possess the following skills and experience: - Proven experience with LLMs, foundation models, and prompt optimization techniques. - Solid grounding in deep learning, including PyTorch or TensorFlow. - Experience with microservices architecture and container-based environments (Docker, Kubernetes). - Ability to design, scale, and maintain multi-system infrastructures. - Familiarity with memory-augmented systems, RAG techniques, and dynamic orchestration. - A product mindset with a bias for building useful, reliable, and human-centered AI experiences. - Strong proficiency in Node.js and backend development in JavaScript or TypeScript is a plus. Memorae offers a fast-moving environment with real ownership and visibility. You can expect a competitive salary and equity options based on your experience and potential. This is your chance to shape the future of AI-driven productivity. Location: New Delhi Start Date: Immediate Salary: Competitive, based on experience,