Agentic AI Experience
Real experience building agents that take action, not just chat interfaces.
Dedicated Role
AI Developers
Engineers focused on agentic AI, LLM integrations and RAG architectures, embedded in your team.
What They Do
AI development is still a specialist skill, not a checkbox on a general resume.
Building a genuinely useful AI agent or knowledge system requires specific experience: prompt architecture, retrieval systems, and the engineering discipline to keep an AI system bounded and auditable rather than a black box.
A dedicated AI developer brings that specific skill set into your existing engineering team, working on the same codebase and standards as everyone else.
What's Covered
What this specialist actually handles.
RAG and Knowledge Systems
Comfortable grounding AI responses in your own documentation and data.
Safety-Conscious Engineering
Builds with logging and boundaries as a default, not an afterthought.
How You Hire This Role
One person, a pod, or a full department.
- Dedicated Employee — one specialist working as an extension of your team
- Dedicated Pod — this role paired with others covering a defined function
- Dedicated Department — this function fully outsourced end to end
- For a first AI initiative, a dedicated pod pairing this role with a general developer is often more effective than hiring the AI specialist alone.
Common Questions
Questions About This Role
Do we need existing AI infrastructure before hiring this role?
No. A common starting point is exactly this: a specialist to build the first system from scratch.
Can they work with our existing engineering stack?
Yes, they work inside your existing codebase and tools rather than a separate isolated environment.
Is this the same as your Agentic AI Development service?
It overlaps. This page frames it as a dedicated hire; the service page frames it as a project.
Need this role on your team?
Tell us the workload and we will scope the right engagement model for it.