Urgent Job Opportunity-Open AI Developer-WFO- Risebird

Job Title: OpenAI Developer
Location: [Specify Location or Remote]
Job Type: [Full-time/Part-time/Contract]
About the Company:

About Risebird

• Leading Interview as a service platform for experts who are exploring part-time, freelance and moonlighting interviewing opportunities.
• Platform for talented people to monetize their idle hours in interviewing
• Largest interviewers network- 15k interviewers from 2600 companies, delivered 3.5 Lakh interviews, customers fortune 500 companies, 25+ crores paid to part-time interviewers in last 5 years
• VC funded startup
• More details on https://risebird.io/
• 
  Job Description:
  We are seeking a skilled OpenAI Developer to join our team and help build AI-driven solutions leveraging OpenAI's models and APIs. The ideal candidate will have a strong background in AI/ML development, experience with OpenAI technologies, and the ability to integrate AI into real-world applications.
• 
  Key Responsibilities:
  
• Develop and integrate OpenAIs GPT models and APIs into applications.
  
• Optimize AI models for performance, cost efficiency, and accuracy.
  
• Build AI-powered chatbots, virtual assistants, and automation tools.
  
• Design and implement prompt engineering strategies for optimal outputs.
  
• Work with stakeholders to understand business requirements and translate them into AI solutions.
  
• Develop and maintain AI-driven applications using Python, TensorFlow, PyTorch, or other relevant frameworks.
  
• Monitor AI model behavior, troubleshoot issues, and improve system performance.
  
• Ensure AI implementations align with ethical standards and compliance regulations.
  
• Stay updated with advancements in AI and OpenAIs latest developments.
  

Requirements:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  
• Proven experience working with OpenAI’s APIs, including GPT models.
  
• Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  
• Strong understanding of NLP, machine learning, and deep learning concepts.
  
• Experience with cloud platforms (AWS, Azure, Google Cloud) for AI deployment.
  
• Knowledge of API integration and microservices architecture.
  
• Familiarity with AI ethics, data privacy, and security best practices.
  
• Strong problem-solving skills and ability to work in a fast-paced environment.
  
• Excellent communication and collaboration skills.
  

Preferred Qualifications:

• Experience in fine-tuning AI models for domain-specific use cases.
  
• Familiarity with LangChain or other AI orchestration frameworks.
  
• Hands-on experience with vector databases like Pinecone, Weaviate, or FAISS.
  
• Prior experience developing AI-powered applications for chatbots, content generation, or automation