Conversational AI Engineer

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. 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). 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. #J-18808-Ljbffr