AI Engineer

The organization is seeking a passionate AI Engineer to design, build, and deploy LLM-powered and agentic applications. This role involves creating RAG pipelines and task-executing agents while collaborating with cross-functional teams to deliver client-specific solutions. The ideal candidate will combine strong backend engineering fundamentals with hands-on experience in applying LLMs to solve real-world problems. Responsibilities: - Design and implement custom AI agent / LLM-based applications to meet client requirements - Build and deploy LLM-powered applications — including RAG pipelines, tool-using agents, and 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 Qualifications: - 3+ years of experience building and deploying LLM-powered and agentic applications, particularly within AI or deep-tech companies - Good understanding of LLM application development — RAG, prompt design, agent/tool orchestration - Strong backend development skills with experience in Python, Java or similar programming languages - Experience working with cloud environments such as AWS, Google Cloud, Azure