Company Overview: Bush & Bush Law Group is a tech-forward legal firm revolutionizing how legal services are delivered through innovation and automation. We’re looking for a Conversational AI Engineer to lead the development and optimization of cutting-edge AI systems that will power client interactions, automate internal workflows, and enhance overall user experience. Compensation ranges from $5 to $7 per hour. Requirements Key Responsibilities • Design and Development: Architect and implement conversational AI systems using platforms like Whisper, VAPI, OpenAI, and other relevant frameworks. • Prompt Engineering: Craft and refine prompts to optimize AI model performance, ensuring natural, accurate, and context-aware responses. • System Integration: Integrate conversational AI solutions with third-party systems, APIs, and services (e.g., CRMs, messaging platforms, or enterprise tools). • Automated Testing: Develop and implement automated testing frameworks to ensure the reliability, performance, and accuracy of conversational AI systems. • Model Optimization: Fine-tune AI models to improve response quality, reduce latency, and enhance user experience. • Collaboration: Work closely with product managers, UX designers, and software engineers to align AI capabilities with business and user needs. • Monitoring and Maintenance: Monitor system performance, troubleshoot issues, and implement updates to maintain high-quality conversational experiences. • Documentation: Create detailed technical documentation for AI systems, integrations, and testing processes. • Stay Current: Keep up-to-date with advancements in conversational AI, NLP, and related technologies to drive innovation. Qualifications • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience). • Experience: • 3+ years of experience in conversational AI, NLP, or related fields. • Proven expertise with platforms such as Whisper, VAPI, OpenAI, or similar conversational AI frameworks. • Strong experience in prompt engineering for large language models (LLMs). • Hands-on experience integrating third-party systems and APIs into AI solutions. • Demonstrated ability to implement automated testing frameworks for AI systems. • Technical Skills: • Proficiency in programming languages such as Python, JavaScript, or TypeScript. • Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for deploying AI solutions. • Knowledge of NLP libraries and frameworks (e.g., Hugging Face, spaCy, or NLTK). • Experience with version control systems (e.g., Git) and CI/CD pipelines. • Understanding of RESTful APIs, WebSockets, and real-time communication protocols. • Soft Skills: • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration abilities. • Ability to work in a fast-paced, agile environment. Preferred Qualifications • Experience with voice-based AI systems and speech-to-text/text-to-speech technologies. • Familiarity with chatbot frameworks (e.g., Dialogflow, Rasa, or Microsoft Bot Framework). Benefits Positive Culture: Be part of a supportive and innovative team. Professional Growth: Opportunities for career advancement and ongoing professional development. Remote Work: Work from home while contributing to high-impact projects in a collaborative virtual environment.