Conversational AI Systems Engineer
2 weeks ago
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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