AI Application Software Developer

As an AI Application Engineer, you will be responsible for designing and implementing enterprise-scale, public-facing AI applications. Your role will involve implementing advanced Retrieval Augmented Generation (RAG) architectures, optimizing systems for token usage and performance tuning, and developing autonomous agent frameworks using LangGraph or similar framework. You will also drive innovation in areas such as embedding techniques, contextual compression, and multi-agent systems. Collaboration with cross-functional teams, troubleshooting technical challenges, and mentoring junior developers will be key aspects of your role. Key Responsibilities: - Design, develop, and deploy enterprise-scale, public-facing AI applications - Implement advanced Retrieval Augmented Generation (RAG) architectures - Build and optimize systems for token usage, response caching, and performance tuning - Develop and maintain autonomous agent frameworks using LangGraph or similar framework - Drive innovation in embedding techniques, contextual compression, and multi-agent systems - Collaborate with cross-functional teams to ensure robust and user-centric solutions - Troubleshoot complex technical challenges and mentor junior developers - Stay updated on the latest advancements in LLMs, agentic frameworks, and AI-driven application development Qualifications Required: - 2-3 years of hands-on experience developing production-grade LLM applications - 3-5 years of overall software development experience - Minimum 1 year of experience in autonomous agent development using the Lang Graph framework or similar Additional Company Details: The company values individuals who have experience with scalable architectures, NoSQL databases, API-driven development, CI/CD pipelines, Agile methodologies, and possess strong analytical and problem-solving skills. Familiarity with technologies like Kubernetes, Docker, Azure, MongoDB, and Elasticsearch is a plus.,