Expert AI Developer

5 days ago


Agra, Uttar Pradesh, India beBeeGenerativeai Full time US$ 1,80,000 - US$ 2,50,000
Job Title: Generative AI Engineer

We are seeking a highly skilled Generative AI Engineer with expert-level experience in LLMs, OpenAI APIs, prompt engineering, and retrieval-augmented generation (RAG). This is a senior, hands-on role—ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions.

About the Role

This engineer will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.

Key Responsibilities
  • Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices).
  • Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy.
  • Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB.
  • Develop interactive AI tools and UIs using Gradio.
  • Ensure seamless SSO integration 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.
Required Qualifications
  • 3–5+ years of experience in AI/ML development, with proven, 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 (e.g., Google Drive).
  • Strong problem-solving and communication skills.
  • Comfortable working independently and collaborating across time zones.
Nice to Have
  • Experience with other vector databases and frameworks.
  • Familiarity with MLOps or AI infrastructure tooling.

We value diversity and inclusivity in the workplace and welcome applicants from all backgrounds.


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