AI Engineering Specialist

1 week ago

Dindigul, Tamil Nadu, India beBeeAgentic Full time
GenAI Professional

We are seeking a seasoned GenAI expert to join our team. The ideal candidate will have extensive experience in deploying production-grade AI projects, with a strong focus on Agentic AI.

About the Role:

We are looking for a highly skilled GenAI professional who can design, build, and deploy cutting-edge LLM agents and multi-modal AI applications that drive real-world business outcomes.

  • Key Responsibilities:
  • Model & Agent Design
    • Conceptualize 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 & 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.
  • Cloud experience: Azure (preferred), AWS, or GCP.
  • Knowledge of AI orchestration, evaluation, guardrails, and observability tools.

Benefits:

As a GenAI professional, you will have the opportunity to work on cutting-edge AI projects, collaborate with a talented team, and contribute to the development of innovative AI solutions.

Continuous Learning & Adaptability:

We encourage continuous learning and adaptability in our team members. We provide opportunities for training, mentorship, and professional growth to help our team members stay up-to-date with the latest AI technologies and trends.

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