Gen AI Architect

As an AI Architect with relevant experience in Natural Language Processing (NLP), Computer Vision (CV), and Large Language Models (LLMs), you will have the responsibility of designing, building, and fine-tuning NLP models and LLM agents to address various business challenges. Your role will involve creating innovative and efficient model designs that elevate user experiences and streamline business processes. Strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, as well as exceptional debugging capabilities are essential for this position. Responsibilities: - Model & Agent Design: You will conceptualize and design robust NLP solutions and LLM agents customized to meet specific business requirements, emphasizing user experience, interactivity, latency, failover, and functionality. - Hands-on Coding: Composing, testing, and maintaining clean, efficient, and scalable code for NLP models and AI agents using Python programming will be a core aspect of your role. - Build high-quality multi-modal & multi-agent applications/frameworks. - Performance Monitoring: Monitor and optimize LLM agents, implement model explainability, manage model drift, and ensure robustness. - Research Implementation: Implement AI Agent research papers into practical solutions, staying updated with the latest academic and industry research to apply cutting-edge methodologies. - Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and system integration problems. - Innovation and Research: Experiment with new techniques and tools to enhance agent capabilities and performance, staying abreast of advancements in AI agent technologies. - Continuous Learning: Adapt to new technologies and practices in the ML field, maintaining awareness of emerging trends in Agent-based solutions, especially in Text & Multi-Modal contexts. Education Qualifications: Bachelor's / Master's degree in Engineering Required Skills: - Programming languages: Proficiency in Python. - Public Cloud: Familiarity with Azure. - Frameworks: Experience with Vector Databases like Milvus, Qdrant/ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation, and Observability Tools. Understanding of Guardrails strategy for LLM. Knowledge of Arize or other ML/LLM observability tools. - Experience: Demonstrated experience in building functional platforms using ML, CV, LLM platforms, and evaluating/monitoring AI platforms in production. Skills: LLM agent design, Python, Artificial Intelligence, Guardrails strategy, Model monitoring, ML, AI Orchestration, Performance optimization, AI evaluation, Observability tools, NLP, Embedding models, Debugging, Multi-modal applications, Research implementation, Vector databases.,