Generative AI Architect - NLP/LLM/Computer Vision

Position : Gen-AI Architect.

Total Experience : 10+ Years.

Location : Hyderabad.

Job Type : Full-Time.

Notice Period : Immediate.

Job 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- Continuous Learning : Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves.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.