Visionary AI Solutions Developer

7 days ago

Kollam, Kerala, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 35,00,000
AI Systems Engineer

We are seeking a skilled professional to design, build, fine-tune and deploy production-grade LLM agents and multi-modal AI applications that solve real-world business challenges.

Key Responsibilities:

  • Model & Agent Design:
    • 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 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.
  • 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    • Quickly unlearn outdated practices and adapt to emerging GenAI and Agentic AI technologies.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:

  • 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.
  • Proven record of production-grade AI deployments not just POCs.
  • Cloud experience Azure AWS or GCP.
  • Knowledge of AI orchestration evaluation guardrails and observability tools.

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