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)

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.