Agentic AI Developer

Job Title: Agentic AI DeveloperWe are seeking a highly skilled Agentic AI Developer to support advanced R&D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.Key ResponsibilitiesDesign and develop agentic AI systems using GPT-style and other large language model architecturesArchitect and optimize agent memory systems, including short-term, long-term, and retrieval-based memoryImplement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solvingBuild scalable context management frameworks to support dynamic, multi-turn conversationsDevelop text-to-structured-data pipelines for automated knowledge extraction and workflow automationCollaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiativesEvaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilitiesDocument system designs, experiments, and technical findingsRequired Qualifications3-5 years of industry experience in AI/ML, LLM development, or agent-based systemsStrong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)Experience building or working with agent frameworks, memory systems, or planning/reasoning architecturesSolid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniquesProficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plusStrong problem-solving skills and ability to work in research-oriented, collaborative environmentsQualificationsPh.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related fieldExperience contributing to research publications, open-source projects, or experimental AI platforms