Position: AI Agent Engineer / LLM Application EngineerNumber of hours: TBCSchedule: TBCKey ResponsibilitiesDesign, develop, and deploy AI agents and LLM-powered applications for various business use casesBuild and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual responsesDevelop NLP-based systems for text processing, classification, and conversational AIIntegrate Voice AI systems for speech recognition, voice assistants, and automated call workflowsConnect LLM applications with databases, APIs, and external systemsFine-tune prompts, optimize model performance, and improve response accuracyImplement automation workflows using AI agents and orchestration frameworksMonitor, test, and continuously improve AI system performance and reliabilityDocument AI architectures, workflows, and deployment processesCollaborate with cross-functional teams to translate business requirements into AI-driven solutionsQualificationsProven experience building LLM-powered applications or AI agentsStrong experience with Retrieval-Augmented Generation (RAG) architecturesSolid background in Natural Language Processing (NLP)Experience developing Voice AI systems or conversational AI solutionsProficiency in Python and working with AI/ML frameworksExperience with LLM APIs (e.g., OpenAI, Anthropic, or similar platforms)Familiarity with vector databases, embeddings, and semantic searchExperience integrating AI solutions with APIs, databases, and cloud servicesStrong analytical and problem-solving skillsAbility to work independently and communicate technical concepts clearly
