Conversational AI Engineer
US$5 – US$7 / hr base salary
Posted 13 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$5 – US$7 / hr |
|---|
Field of studyArtificial Intelligence, Computer Science, Machine learning (or related)
Study levelBachelor's or higher
**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
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Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).
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Experience:
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3+ years of experience in conversational AI, NLP, or related fields.
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Proven expertise with platforms such as Whisper, VAPI, OpenAI, or similar conversational AI frameworks.