Generative AI Engineer

• Design, develop, and maintain GenAI-powered conversational systems and virtual assistants.
• Implement and fine-tune Rasa (NLU, Core, Actions) components for natural dialogue management.
• Integrate LLMs (e.g., OpenAI, Anthropic, or similar) into conversational flows for enhanced language understanding and generation.
• Build, evaluate, and deploy Python-based GenAI services for voice and chat interfaces.
• Develop custom NLU pipelines, prompt engineering strategies, and voice interaction logic.
• Collaborate with voice UX designers to ensure seamless, natural user interactions.
• Optimize system latency, response quality, and model efficiency in production environments.
• Stay current with trends in generative AI, conversational design, and speech technology.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
• Strong proficiency in Python (data structures, APIs, backend development).
• Hands-on experience with Rasa framework (NLU, dialogue management, custom actions).
• Proven experience building or integrating GenAI models (e.g., GPT, Claude, Llama) into conversational systems.
• Experience with voice or speech interfaces (e.g., Twilio, Amazon Lex, Google Dialogflow, or Web Speech API).
• Familiarity with RESTful APIs, microservices, and cloud platforms (AWS)