Optimizing AI-Powered Applications as an Experienced Developer

6 days ago

Davangere, Karnataka, India beBeeGenerative Full time ₹ 40,00,000 - ₹ 50,00,000

Job Title:

Artificial Intelligence Application Developer

About the Job

We are seeking a highly skilled Artificial Intelligence Application Developer to join our team. As a key member of our organization, you will design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.

Key Responsibilities

  • Implement Large Language Model (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 Single Sign-On (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.

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