AI Innovator

22 hours ago

Jaipur, Rajasthan, India beBeeArtificial Full time ₹ 45,00,000 - ₹ 55,00,000

A seasoned GenAI professional is sought to lead our efforts in developing innovative AI solutions, leveraging expertise in NLP, Computer Vision, and LLM-based agentic systems. This role involves creating robust, scalable, and efficient models that tackle real-world business challenges.

Job Description

This position requires a professional with experience in designing and deploying production-grade LLM agents and multi-modal AI applications.

Key Responsibilities
  • Model & Agent Design
    • Conceptualize and implement LLM-powered agents and NLP solutions tailored to business needs.
    • Design and develop multi-agent and multi-modal AI applications/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.
  • 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
    • 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 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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