Artificial Intelligence Architect

Role : AI Architect

Experience : 14-17 Yrs

Location : Hitech City, Hyderabad

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- Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves.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