1
Conversational AI Engineer
Healthcare, Customer Support, Intake Automation
Builds intelligent chat and voice systems that handle real conversations and trigger actions.
Capabilities
- SMS and voice AI workflows
- Multi-step conversational logic (intake → qualification → action)
- LLM-powered chatbots with memory and reasoning
- Patient engagement and scheduling systems
2
AI Automation Engineer
Operations, Internal Workflows, Scaling Businesses
Designs end-to-end AI systems that remove manual work and bottlenecks.
Capabilities
- Workflow automation (n8n, custom pipelines)
- CRM and backend system integrations
- Process mapping → automation → optimization
- Multi-tool orchestration (APIs, databases, AI models)
3
AI Agent Developer
Advanced AI Systems, Autonomous Workflows
Builds AI agents that think, act, and execute tasks across systems.
Capabilities
- Agent-based architectures (multi-step reasoning systems)
- Tool-using AI (APIs, databases, external systems)
- Human-in-the-loop systems for reliability
- Autonomous task execution
4
Prompt Engineer / AI Optimization Specialist
Improving AI Outputs, Product Performance
Optimizes how AI behaves inside your product or workflows.
Capabilities
- Prompt design and refinement
- Response optimization for accuracy and tone
- Training AI systems for specific use cases
- Improving conversion, engagement, and outputs
5
AI Integration & API Specialist
Connecting AI to Real Systems
Bridges AI with your existing infrastructure.
Capabilities
- OpenAI / Claude API integrations
- Backend system connections (CRM, databases, tools)
- Secure and scalable API architecture
- Deployment and monitoring
6
Voice AI & Lead Qualification Specialist
Sales Pipelines, Inbound/Outbound Automation
Builds AI that qualifies leads, books calls, and drives revenue.
Capabilities
- Voiceflow and conversational funnel design
- ElevenLabs voice integration
- AI-powered lead qualification systems
- Calendar booking automation
7
AI Coach / Advisor
Founders, Operators, Teams Getting Started
Guides you through AI implementation without wasting time or money.
Capabilities
- Tool selection and architecture planning
- Live walkthroughs and system setup
- Use case identification for your business
- Avoiding common AI mistakes
8
AI Lead Generation System Builder
B2B Growth, Outbound Systems
Builds scalable outbound engines powered by AI.
Capabilities
- Data enrichment and prospecting
- AI-driven outreach systems
- Personalized messaging at scale
- End-to-end lead generation pipelines
9
AI Solutions Architect
Businesses Needing Clarity Before Building
Designs the full AI system architecture so you don't waste time or money on the wrong approach.
Capabilities
- Translate business needs into AI system design
- Select the right tools, models, and architecture
- Design end-to-end workflows and integrations
- Prevent overengineering and costly rebuilds
10
AI Product Manager
AI-Powered Products & Internal Tools
Ensures your AI system is usable, valuable, and aligned with real business outcomes.
Capabilities
- Define product features and user flows
- Prioritize development based on impact
- Align technical builds with business goals
- Manage roadmap and iteration cycles
11
AI Revenue Systems Specialist
Growth, Leads & Conversions
Builds AI systems that directly drive revenue and pipeline.
Capabilities
- Design AI-powered sales funnels
- Optimize conversion from lead to booked call
- Build AI SDR and outbound systems
- Improve pipeline performance and close rates
12
AI Data & Training Specialist
Accurate, Reliable AI Outputs
Structures and trains your data so AI performs at a high level.
Capabilities
- Clean and structure internal data
- Build knowledge bases (RAG systems)
- Train AI on company-specific information
- Improve accuracy and response quality
13
AI QA / Reliability Engineer
Production AI Environments
Ensures your AI systems are consistent, reliable, and safe to use.
Capabilities
- Test AI outputs across multiple scenarios
- Build guardrails and fallback logic
- Monitor system performance and errors
- Improve consistency and reliability
14
AI Security & Compliance Specialist
Healthcare, Legal & Regulated Industries
Protects your data and ensures your AI systems meet compliance standards.
Capabilities
- Design secure AI workflows
- Ensure HIPAA and data compliance
- Manage data privacy and access controls
- Reduce legal and operational risk
15
AI UX / Conversation Designer
Customer-Facing AI & Chat Experiences
Designs AI interactions that feel natural, clear, and effective.
Capabilities
- Create natural conversation flows
- Improve tone, clarity, and engagement
- Reduce friction in user interactions
- Increase completion and conversion rates
16
AI Deployment & DevOps Engineer
Scaling AI Systems Into Production
Handles the infrastructure needed to run AI systems reliably at scale.
Capabilities
- Deploy AI systems to production environments
- Manage cloud infrastructure (AWS, etc.)
- Monitor uptime, performance, and costs
- Ensure scalability and system stability
17
Healthcare AI Specialist
Clinics, Medical Practices & Healthcare Orgs
Builds AI systems tailored to patient workflows and clinical operations.
Capabilities
- Patient intake and scheduling automation
- Clinical workflow optimization
- AI-powered patient engagement systems
- Healthcare-specific compliance awareness
18
Legal AI Specialist
Law Firms & Legal Service Providers
Designs AI systems for case intake, documentation, and client workflows.
Capabilities
- Case intake and lead qualification systems
- Document and workflow automation
- Client communication automation
- Legal-specific process optimization
19
Marketing & Agency AI Specialist
Agencies, Service Businesses & Marketing Teams
Builds AI systems that automate marketing and client acquisition.
Capabilities
- Lead generation and outreach automation
- CRM and pipeline optimization
- Campaign automation and personalization
- Client onboarding and communication systems
20
AI Implementation Consultant
Teams Needing Adoption, Not Just Build
Ensures your AI systems are actually used and deliver results inside your business.
Capabilities
- Train teams on AI tools and workflows
- Implement systems into daily operations
- Improve adoption and usage
- Drive measurable ROI post-deployment
