Conversational AI Systems Engineer

2 weeks ago


Delhi, Delhi, India WIZSTAFFING PRIVATE LIMITED Full time

About the Job:

We are seeking an experienced Conversational AI Systems Engineer to join Wizstaffing Private Limited. The ideal candidate will have a proven track record of building and deploying conversational bots or AI-powered chat applications, with expertise in fine-tuning models for specific use cases.

Key Responsibilities:

  • Craft engaging conversational experiences for users by collaborating with design and product teams.
  • Develop AI-powered conversational systems that feel natural and deliver high user satisfaction.
  • Fine-tune and adapt pre-trained large language models (LLMs) to meet the specific needs of the product and user experience.
  • Leverage custom datasets, including user interaction data, to enhance model performance and ensure personalized, context-aware responses.
  • Implement Retrieval-Augmented Generation (RAG) strategies to enhance the AIs capabilities in providing real-time, accurate information.
  • Use structured and unstructured data to improve the AI's ability to deliver highly relevant and personalized conversational outputs.
  • Take ownership of the development process, ensuring high-quality, scalable, and reliable AI features.
  • Solve complex challenges while aligning with broader product goals and priorities.
  • Work closely with cross-functional teams to integrate AI capabilities into the overall product.
  • Provide regular updates on progress, challenges, and opportunities.
  • Set up workflows, systems, and tools for building, testing, and deploying conversational AI models.
  • Contribute to developing infrastructure for efficient experimentation, model training, and deployment.
  • Stay up-to-date with the latest trends and advancements in conversational AI, LLMs, and RAG techniques.
  • Identify new technologies and methodologies to improve the user experience.

Requirements:

  • 3-6 years of experience in building and deploying conversational bots or AI-powered chat applications.
  • Solid experience in fine-tuning models for specific use cases, including working with large language models (LLMs).
  • Expertise in using Retrieval-Augmented Generation (RAG) techniques to enhance conversational AI system performance.
  • Familiarity with AI model deployment frameworks and tools, such as TensorFlow, PyTorch, Hugging Face, or similar.
  • Strong proficiency in Python for data science, machine learning, and model fine-tuning.
  • Experience working with Natural Language Processing (NLP) techniques and tools.
  • Hands-on experience in managing and processing large datasets.
  • Knowledge of cloud platforms and containerization for deploying AI models at scale.
  • Ability to translate business and product requirements into actionable technical solutions.

Salary: $120,000 - $180,000 per year

Location: Remote or San Francisco, CA



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