GenAI Visionary

1 day ago

Chennai, Tamil Nadu, India beBeeAgentic Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior GenAI Architect

We are seeking a seasoned Senior GenAI Architect to spearhead the development of cutting-edge, production-grade LLM agents and multi-modal AI applications.

About the Role

This is an exceptional opportunity for experienced professionals to leverage their expertise in designing, building, fine-tuning, and deploying scalable LLM-based agentic systems that tackle real-world business challenges.

Key Responsibilities:
  • Develop strategic LLM-powered solutions tailored to meet business needs, ensuring seamless integration with existing infrastructure.
  • Design and build sophisticated multi-agent and multi-modal AI frameworks, emphasizing interactivity, latency optimization, failover, and usability.
  • Implement advanced design principles for structured outputs, tool usage, speculative decoding, AST-Code RAG, streaming, and async/sync processing.
Hands-on Coding & Development:
  • Write, test, and maintain clean, efficient, and scalable Python code for LLMs and AI agents, adhering to industry standards.
  • Implement fine-tuning, embeddings, and prompt engineering strategies focused on cost, latency, and accuracy.
  • Integrate models with vector databases (Milvus, Qdrant, ChromaDB, CosmosDB, MongoDB).
Performance & Monitoring:
  • Monitor and optimize LLM agents for latency, scalability, robustness, and explainability, ensuring high-performance outcomes.
  • Implement observability and guardrails strategies for enterprise-safe AI deployments, mitigating risks and ensuring compliance.
  • Handle model drift, token consumption optimization, and error recovery mechanisms to ensure seamless system operation.
Research & Innovation:
  • Stay abreast of the latest AI/Agent research papers, interpreting and implementing practical production-ready solutions.
  • Contribute to the advancement of Agentic AI, multimodal AI, orchestration frameworks, and evaluation methodologies, pushing the boundaries of innovation.
  • Experiment with new AI orchestration tools, evaluation frameworks, and observability platforms to stay at the forefront of technological advancements.
Debugging & Issue Resolution:
  • Diagnose and resolve model inaccuracies, system integration issues, and performance bottlenecks, ensuring swift resolution and minimizing downtime.
  • Apply advanced debugging techniques to troubleshoot deployment errors, data inconsistencies, and unexpected agent behaviors, delivering accurate results.
Continuous Learning & Adaptability:
  • Pursue ongoing education and training to stay current with emerging GenAI and Agentic AI technologies, unlearning outdated practices as necessary.
  • Contribute to a culture of innovation by experimenting, prototyping, and scaling cutting-edge AI solutions, driving growth and excellence.

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