Expert GenAI Professional

1 week ago

Solapur, Maharashtra, India beBeeExpertise Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
GenAI Specialist

We are seeking an experienced GenAI professional with a strong track record of deploying production-grade projects, leveraging expertise in Agentic AI.

About the Role

This position involves designing, building, fine-tuning, and deploying scalable LLM agents and multi-modal Ai applications to address real-world business challenges.

Key Responsibilities:
  • Agent Design
    • Conceptualize, design, and implement LLM-powered agents and NLP solutions tailored to business needs.
    • Develop multi-agent and multi-modal Ai frameworks, ensuring 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.
  • 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    • Quickly unlearn outdated practices and adapt to emerging GenAi and Agentic Ai technologies.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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