EXPERT AI ENGINEER - AI Research & Application Department
Responsibilities
- Design and develop AI applications powered by Large Language Models (LLMs), including chatbots, AI assistants, Copilots, Retrieval-Augmented Generation (RAG), Text-to-Query, and AI Agents, AI Agentic.
- Develop AI models for classification, scoring, data analysis, anomaly detection, and behavioral pattern recognition.
- Build knowledge management and long-term memory systems for LLMs to enable contextual information storage, retrieval, and reuse.
- Optimize AI systems for accuracy, latency, scalability, and operational cost.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum 10 years of experience in AI, Machine Learning, Natural Language Processing (NLP), Data Science, or related domains.
- Proven experience delivering and deploying at least one AI product or production-grade AI Agent system.
- Hands-on experience in one or more of the following areas:
- LLMs, AI Agent, AI Agentic, Chatbots, AI Copilots, RAG, Text-to-SQL/Text-to-Query.
- Classification, anomaly detection, time-series analysis, or behavioral analytics.
- Semantic search, knowledge graphs, knowledge management, or LLM memory systems.
- Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent.
- Hands-on experience in developing or operating large-scale AI systems leveraging cutting-edge technologies is highly preferred and considered a significant advantage.
- Basic understanding of application security principles, OWASP Top 10 vulnerabilities, and security best practices is required.
- Experience working with vector databases, databases, APIs, and large-scale data processing systems.
- Strong system design skills with the ability to evaluate technical trade-offs and recommend appropriate architectural solutions.
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