Generative AI Architect - NLP/LLM/Computer Vision

Position : Gen-AI Architect. Total Experience : 10 Years. Location : Hyderabad. Job Type : Full-Time. Notice Period : Description : As an AI Architect [relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities. Responsibilities : - Model & Agent Design : Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity, latency, failover and functionality. - Hands-on Coding : Write, test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming. - Build high quality multi-modal & multi-agents applications/frameworks. - Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents. - Performance Monitoring : Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness. - Research Implementation : Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques. - Debugging & Issue Resolution : Proactively identify, diagnose, and resolve issues related to AI agent, including model inaccuracies, performance bottlenecks, and system integration problems. - Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors. - Innovation and Research : Stay updated with the latest advancements in AI agents technologies, experimenting with new techniques and tools to enhance agent capabilities and performance. - Continuous Learning : Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. - Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal). - Clear understanding of tool usage and structured outputs in agents. - Clear understanding of speculative decoding and AST-Code RAG. - Clear understanding of Streaming and Sync/Async processing. - Clear understanding of embedding models and their limitations. Education Qualifications : Bachelor's / Master's degree in Engineering. Required Skills : - Programming languages : Python. - Public Cloud : AzureFrameworks : Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. - Knowledge of AI Orchestration, AI evaluation and Observability Tools. - Knowledge of Guardrails strategy for LLM. - Knowledge on Arize or any other ML/LLM observability too. Experience : - Experience in building functional platforms using ML, CV, LLM platforms. - Experience in evaluating and monitoring AI platforms in production. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 5/1/2025