AI Resources
Expand capability without expanding permanent headcount.
Use dedicated resources, managed pods or complete project delivery according to your backlog and governance model.
AI & LLM Research
- AI Researchers
- Applied AI Specialists
- LLM Evaluation Specialists
- Prompt Engineers
AI Engineering
- Generative AI Engineers
- LLM / RAG Engineers
- ML Engineers
- Solution Architects
Data & MLOps
- Data Scientists
- Data Engineers
- MLOps / Cloud / DevOps
- Analytics Specialists
Product & Quality
- AI Product Managers
- Business Analysts
- AI UX Designers
- QA / Evaluation Engineers
Engagement models
Choose named capacity, a cross-functional delivery unit or end-to-end project ownership.
Dedicated Specialist
Named capacity
Part-time or full-time contribution to your backlog, tools and sprint cadence with agreed time-zone overlap.
Request a SpecialistManaged AI Pod
Cross-functional delivery
AI lead, engineer, data, full-stack, QA and coordination shaped around an outcome roadmap.
Build Your AI PodProject Outsourcing
End-to-end scope
Discovery, architecture, development, QA, deployment, documentation, handover and support.
Discuss a Project