Transformative AI Strategist

6 days ago

Jodhpur, Rajasthan, India beBeeGenai Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Visionary Role

Our organization seeks a seasoned GenAI professional to spearhead the development of cutting-edge LLM-powered agents and multi-modal AI applications.

The ideal candidate will design, build, fine-tune, and deploy production-grade LLM agents and multi-modal AI applications that tackle real-world business challenges.

Key ResponsibilitiesModel & Agent Design
  • Develop tailored LLM-powered agents and NLP solutions aligned with business needs, emphasizing innovation and efficiency.
  • Build complex multi-agent and multi-modal AI frameworks, focusing on interactivity, latency optimization, failover, and usability.
  • Apply 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, scalable, and efficient Python code for LLMs and AI agents.
  • Implement fine-tuning, embeddings, and prompt engineering with a focus 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.
  • Implement observability and guardrails strategies for enterprise-safe AI deployments.
  • Handle model drift, token consumption optimization, and error recovery mechanisms.
Research & Innovation
  • Read, interpret, and implement AI/Agent research papers into practical production-ready solutions.
  • Stay ahead of academic and industry trends in Agentic AI, multimodal AI, orchestration frameworks, and evaluation methodologies.
  • Experiment with new AI orchestration tools, evaluation frameworks, and observability platforms (Arize or similar).
Debugging & Issue Resolution
  • Diagnose and resolve model inaccuracies, system integration issues, and performance bottlenecks.
  • Apply advanced debugging techniques to troubleshoot deployment errors, data inconsistencies, and unexpected agent behaviors.
Continuous Learning & Adaptability
  • Quickly unlearn outdated practices and adapt to emerging GenAI and Agentic AI technologies.
  • Contribute to a culture of innovation by experimenting, prototyping, and scaling cutting-edge AI solutions.

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