Gen AI Architect
Gen AI Architect
Employer Active
Job Description
Gen AI Architect
About the job
About the Role:
As an AI Architect relevant exp on NLP CV and LLMs you will be responsible for designing building and finetuning 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 handson 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.
- Handson 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 multimodal & multiagents 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 cuttingedge 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- Continuous Learning: Adaptability to unlearn outdated practices patterns technologies and quickly learn and implement new technologies & papers as the ML world evolves.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 ASTCode RAG.
- Clear understanding of Streaming and Sync/Async processing.
- Clear understanding of embedding models and their limitations.
Education Qualifications: Bachelors / Masters 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.
gen ai,llm,rag,cloud,architecture
Employment Type
Full Time
