Artificial Intelligence Specialist

2 weeks ago

Nagpur, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Innovation Specialist Job

We're seeking an exceptional AI innovation specialist to drive the development of cutting-edge artificial intelligence solutions.

About the Role

This is a key position in our organization, and you'll be responsible for designing, building, fine-tuning, and deploying production-grade LLM agents and multi-modal AI applications that solve real-world business challenges.

Key Responsibilities
  • Conceptualize, design, and implement LLM-powered agents and NLP solutions tailored to business needs.
  • Build 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
  • 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.
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.
Required Skills & Qualifications
  • 5–9 years total experience, with 4+ years in NLP, CV, and LLMs.
  • Strong expertise in GenAI, LLMs, RAG pipelines, embeddings, and vector databases.
  • Proficiency in Python with strong debugging and system design skills.
  • Hands-on experience with Agentic AI frameworks (LangChain Agents, AutoGen, CrewAI, Temporal, DSPy).
  • Proven record of production-grade AI deployments.
  • Cloud experience: Azure (preferred), AWS, or GCP.
  • Knowledge of AI orchestration, evaluation, guardrails, and observability tools.

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