AI Agent Engineer / LLM Application Engineer (RP - 03112026)

Position: AI Agent Engineer / LLM Application Engineer Number of hours: TBC Schedule: TBC Key Responsibilities Design, develop, and deploy AI agents and LLM-powered applications for various business use cases Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual responses Develop NLP-based systems for text processing, classification, and conversational AI Integrate Voice AI systems for speech recognition, voice assistants, and automated call workflows Connect LLM applications with databases, APIs, and external systems Fine-tune prompts, optimize model performance, and improve response accuracy Implement automation workflows using AI agents and orchestration frameworks Monitor, test, and continuously improve AI system performance and reliability Document AI architectures, workflows, and deployment processes Collaborate with cross-functional teams to translate business requirements into AI-driven solutions Qualifications Proven experience building LLM-powered applications or AI agents Strong experience with Retrieval-Augmented Generation (RAG) architectures Solid background in Natural Language Processing (NLP) Experience developing Voice AI systems or conversational AI solutions Proficiency in Python and working with AI/ML frameworks Experience with LLM APIs (e.g., OpenAI, Anthropic, or similar platforms) Familiarity with vector databases, embeddings, and semantic search Experience integrating AI solutions with APIs, databases, and cloud services Strong analytical and problem-solving skills Ability to work independently and communicate technical concepts clearly