Hire AI Engineers for Enterprise Product Delivery
A delivery model under our Enterprise AI Consulting pillar. Dedicated AI engineering teams for enterprises shipping multi-agent systems, RAG knowledge bases, and LLM copilots with measurable delivery, not pilots that stall.
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How teams engage us
Dedicated AI squad
A cross-functional team (AI engineer, full-stack developer, PM) embedded on your roadmap for a fixed monthly retainer. Best when you have a defined product backlog and need velocity without permanent headcount.
Staff augmentation
One or two senior AI engineers join your existing team under your sprint cadence. Best when you have internal product leadership but need specialist LLM, RAG, or multi-agent expertise.
POC to production
Start with a scoped proof-of-concept, typically six to eight weeks. Measure KPIs, then scale the same team into production hardening. Best when sponsors need ROI proof before full investment.
What our AI engineers ship
- Multi-agent orchestration and tool-calling workflows
- RAG knowledge bases with permission-aware retrieval
- LLM customer support and internal copilots
- Voice-first AI agents (STT/TTS pipelines)
- Computer vision and document parsing pipelines
- Supabase, Vercel, and AWS production deployments
Published enterprise AI build estimates
Fixed-price MVP benchmarks for common enterprise AI products. Each estimate includes an itemised PRD breakdown. You own the code and IP.
Hire AI Engineers FAQs
How do I hire AI engineers for an enterprise project?
Start with a scoped engagement: either a fixed-price POC or a dedicated squad on retainer. App Developer Studio ships production AI systems, not slide decks. We won the MTN/FNB App of the Year award in 2022, 2023, and 2024, and build our own multi-agent products including ChatStack.
What skills do your AI engineers bring?
Production LLM integration, RAG pipelines, multi-agent orchestration, Supabase/Postgres with row-level security, Next.js and Flutter frontends, and AI-accelerated delivery with Cursor. We measure outcomes (cycle time, deflection rate, adoption), not token counts.
Staff augmentation vs dedicated squad: which fits?
Staff augmentation when you have product leadership and need specialist AI engineers inside your sprint process. A dedicated squad when you want App Developer Studio to own delivery end-to-end against a roadmap, with a PM and full-stack support included.
How much does it cost to hire AI engineers?
Retainer and project rates depend on team size and scope. For build-cost benchmarks, see our published enterprise AI cost estimates. POCs from about $9,750, multi-agent systems from about $17,250, or use ChatStack for a tailored fixed-price estimate.
Need a dedicated AI engineering team?
Book a consultation or get an instant scoped estimate with ChatStack.