AI Engineer

Artificial Intelligence Engineer Experience: 3+ Years Location: Bangalore, India About Us: At NuPlay AI, we envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities. From suggesting next purchases to boosting revenue while maintaining customer satisfaction, to analyzing vast datasets for actionable insights, our technologies shape your business and product strategies. By resolving queries with precision and delivering highly personalized interactions, we redefine the customer experience and drive measurable impact. NuPlay AI is at the forefront of AI innovation, developing cutting-edge AI and LLM solutions to enhance productivity and automation. Backed by $27.5M in seed funding, we are building next-gen AI-driven applications that redefine human-machine collaboration. We are looking for a Technical Lead to spearhead our AI engineering efforts and drive product innovation. We are pioneering the AI revolution as India's first scaled AI services company. We deliver cutting-edge AI and LLM solutions tailored for the dynamic needs of the modern world. Backed by robust funding we are a vibrant, young team set on redefining technological boundaries. Join us in shaping the future. Join us in building the future, where every interaction is smarter, faster and more impactful. Role Overview: We are seeking a passionate AI Engineer with 3+ years of experience building and deploying LLM-powered and agentic applications , particularly within AI or deep-tech companies. This role focuses on designing, building, and deploying AI agents and LLM-based systems — from RAG pipelines to conversational and task-executing agents — collaborating with cross-functional teams to craft client-specific solutions and drive measurable impact. The ideal candidate has strong backend engineering fundamentals combined with hands-on experience applying LLMs and agent frameworks to solve real-world problems, and a strong desire to learn and innovate. Key Responsibilities: Custom Solution Development: Design and implement custom AI agent / LLM-based applications to meet client requirements. (revised) Collaborate with cross-functional teams to ensure seamless integration of solutions into client systems. AI Application Engineering: Build and deploy LLM-powered applications — including RAG pipelines, tool-using agents, and conversational/non-conversational agents — as scalable, production-grade services. Design and implement evaluation frameworks (evals) to measure and improve agent/LLM output quality, reliability, and accuracy. Optimize latency, cost, and performance of LLM-based systems for real-world, client-facing use cases. Stay current with and apply emerging agent frameworks, LLM tooling, and retrieval/orchestration techniques (e.g., RAG, tool-calling, multi-agent workflows). Collaboration and…