Overview

We are looking for an experienced and hands-on AI Engineer to build an autonomous conversational agent that interacts with users based on their initial input and engages in dynamic, context-driven follow-up questions.

Responsibilities

• Design, build, and deploy an AI agent capable of analyzing the provided input (either text or document) and engaging in dynamic, context-sensitive conversations.
• Develop an NLP model capable of interpreting documents, extracting keywords, qualifications, and demographics, and using this data to craft personalized questions.
• Implement machine learning techniques to enable the bot to learn from interactions and improve its question flow and decision-making over time.
• Ensure the bot adapts its questioning strategy based on responses, capturing key insights from the initial input.
• Collaborate with product managers, UX/UI designers, and other stakeholders to define the bot's behavior, conversational flow, and response accuracy.

Qualifications

• Proven experience in building conversational agents, chatbots, or virtual assistants using AI technologies (e.g., GPT, BERT, Rasa, Dialogflow, etc.).
• Strong knowledge of Natural Language Processing (NLP), including experience with language models (GPT-3, BERT), intent recognition, entity extraction, and semantic parsing.
• Expertise in Machine Learning (ML) techniques, including supervised and unsupervised learning, neural networks, reinforcement learning, and active learning.
• Experience with document parsing technologies to extract structured data from unstructured resume text.
• Proficiency with AI and ML frameworks and tools like TensorFlow, PyTorch, Hugging Face, spaCy, etc.
• Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI models and building scalable solutions.
• Understanding of Reinforcement Learning (RL) for dialogue systems to improve agent behavior over time.
• Experience with voice-enabled conversational bots.
• Part time/work from home/freelancer required.