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Senior Generative AI Developer

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Jamnagar, Gujarat, India beBeeArtificialIntelligence Full time US$ 1,60,000 - US$ 2,00,000
Generative AI Engineer

This is an exceptional opportunity to join a team of innovators in the field of Generative AI. We are seeking a highly skilled and experienced Generative AI Engineer to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.

About the Role

The successful candidate will work closely with internal teams and clients to deliver cutting-edge AI solutions that meet the highest standards of quality and reliability.

Main 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.
Requirements

To succeed in this role, you will need:

  • 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.
Preferred Qualifications

We would also welcome candidates with:

  • Familiarity with MLOps or AI infrastructure tooling.
  • Previous experience in healthcare, biotech, or highly regulated domains.
About Us

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. Our mission is to provide innovative AI solutions that drive business success and make a positive impact on society.