AI Innovation Specialist

2 days ago


Madurai, Tamil Nadu, India beBeeInnovation Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI Innovation Specialist

We are seeking a seasoned AI Innovation Specialist to join our team. This is an opportunity for a highly skilled professional to leverage their expertise in Large Language Models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) to drive the development of cutting-edge AI applications.

  • Design and implement LLM-driven features using advanced techniques and OpenAI API best practices.
  • Apply advanced prompt engineering and model tuning techniques to optimize performance and accuracy.
  • Build RAG systems using Langchain and ChromaDB.
  • Develop interactive AI tools and UIs using Gradio.
  • Ensure seamless integration with infrastructure and secure access controls.
  • Implement Dockerized environments for scalable deployments.
  • Connect and automate data pipelines, including Google Drive integration.
  • Write clean, maintainable code in Python and contribute to a collaborative, agile development environment.
Requirements
  • 3-5+ years of experience in AI/ML development with expert-level hands-on work in LLMs and Generative AI.
  • Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters.
  • Deep experience with prompt engineering and AI response optimization.
  • Strong Python development skills.
  • Production-level experience with Langchain, ChromaDB, and RAG architectures.
  • Proficiency with Gradio for front-end prototyping.
  • Experience with Docker, SSO, and cloud API integrations.
  • Strong problem-solving and communication skills.
  • Comfortable working independently and collaborating across time zones.
Benefits

This role offers a unique opportunity to work on challenging projects, develop your skills, and make a meaningful contribution to the field of AI innovation.

Additional Requirements
  • Experience with other vector databases and frameworks.
  • Familiarity with MLOps or AI infrastructure tooling.


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