Artificial Intelligence Engineer

About the role

We are seeking a highly skilled Agentic AI Engineer to support advanced R&D initiatives focused on next-generation AI agents and conversational intelligence systems.

Responsibilities

• Design and develop agentic AI systems using GPT-style and other large language model architectures
• Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory
• Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving
• Build scalable context management frameworks to support dynamic, multi-turn conversations
• Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation
• Collaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiatives
• Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities
• Document system designs, experiments, and technical findings

Requirements

• 3-5 years of industry experience in AI/ML, LLM development, or agent-based systems
• Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)
• Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures
• Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques
• Proficiency 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 plus
• Strong problem-solving skills and ability to work in research-oriented, collaborative environments
• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience contributing to research publications, open-source projects, or experimental AI platforms