Genetic Model Architect

4 days ago

Tirupati, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 40,00,000
Job Title

We are seeking an experienced Artificial Intelligence Specialist to join our team.

  • Key Responsibilities:
  • Develop and implement large language models (LLMs) and multimodal AI applications tailored to business needs.
  • Conceptualize, design, and build LLM-powered agents and NLP solutions 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 such as Milvus, Qdrant, ChromaDB, CosmosDB, MongoDB.
  • Performance & Monitoring:
  • Monitor and optimize LLM agents for latency, scalability, robustness, and explainability.
  • Implement observability and guardrails strategies for 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.
  • 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  • Quickly unlearn outdated practices and adapt to emerging GenAI and Agentic AI technologies.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.

Required Skills & Experience:

  • A minimum of 5 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.
  • Proven record of production-grade AI deployments.
  • Cloud experience: Azure, AWS, or GCP.
  • Knowledge of AI orchestration, evaluation, guardrails, and observability tools.

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