Tech Specialist (AI & Full - Stack Systems)

Requirements:

• Backend Engineering: Strong proficiency in Node.js and TypeScript/JavaScript, including API design, asynchronous processing, event-driven systems, and backend architecture.
• System Design: Demonstrated expertise in distributed systems, scalability, reliability, database design, caching, messaging, and system integration.
• AI/ML Engineering: Strong understanding of machine learning, deep learning, neural networks, transformer architectures, and LLM internals.
• LLM Training: Practical experience training LLMs from scratch and taking trained models through evaluation, optimization, and production deployment.
• ML Frameworks: Hands-on proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Data Engineering: Experience with data pipelines, dataset preparation, data quality, vector embeddings, and efficient data processing.
• LLM Systems: Working knowledge of tokenization, attention mechanisms, inference optimization, GPU utilization, model evaluation, and serving infrastructure.
• Infrastructure and Deployment: Experience with Docker, CI/CD, cloud or on-premises infrastructure, monitoring, logging, and production operations.
• Databases: Strong understanding of SQL and NoSQL databases, data modeling, query optimization, and performance tuning.
• Engineering Practices: Proficiency in automated testing, debugging, code reviews, version control, security, and maintainable software design.