Production-grade AI engineers. Inside your environment. In two weeks.
Pre-vetted GenAI, MLOps, RAG, agentic, voice, IDP and RPA engineers deployed against your roadmap on a contracted basis. On-shore, near-shore, offshore. Convert to FTE at any time. No bench tax, no consulting-firm theatre.
The specialisms that block your AI roadmap
We don't pretend to do every IT role. The bench is curated for the AI specialisms where one or two missing engineers cost a quarter of delivery.
GenAI & RAG Engineers
Build sovereign LLM stacks (vLLM, Llama, Mistral), retrieval pipelines (pgvector, Qdrant), re-ranking, evaluation harnesses and prompt-design practice.
Agentic & MLOps Engineers
Multi-agent workflow design (LangGraph, our own Studio), tool-use orchestration, deployment pipelines, observability and continuous evaluation.
IDP & Document AI Engineers
OCR plus LLM extraction (DocuMage, DocGenie), schema design, validation rules, exception workflows. The people who make documents stop being humans' problem.
RPA & Intelligent Automation
UiPath, Automation Anywhere, Power Automate, Blue Prism — plus the AI overlay that turns rules-only bots into agentic workflows.
Conversational & Voice AI
WhatsApp, web, voice and IVR deployments. Multilingual NLP, voice-agent design, contact-centre integration.
Data & Analytics Engineers
Lakehouse, semantic layers, NL-to-dashboard, real-time streaming, ML feature pipelines and BI tooling.
Where the bench earns its keep
You have a deadline, not a hiring plan
AI roadmap committed to the board, two quarters to deliver, your TA team is twelve months out. We stand up the team inside two weeks, on your tools, against your milestones.
You need depth your team doesn't have yet
Production GenAI, sovereign LLM serving, agentic orchestration, IDP at scale, voice — the specific specialisms where one or two missing engineers block six months of progress.
You want optionality, not headcount lock-in
Engagements scale from a single senior plus-up to a full pod. Ramp down on notice, or convert any engineer to a direct hire on a transparent buy-out — no consulting-firm penalty.
From brief to first standup in 14 days
Brief
Forty-minute call to understand the workload, the tooling, the team you already have, and the outcome you're committing to.
Match
Within five working days we present 2-3 candidates per role — with code samples, prior deployment context, and references from comparable engagements.
Stand up
Day-one access provisioning, environment integration, sprint planning with your team. Working code by the end of week two.
Operate
Weekly steering, a dedicated MindMap engagement lead, and a transparent dashboard tracking what's shipping. Scale up, down, or convert at any point.
Direct hire vs. Big-4 staff aug vs. AI Talent on Demand
| Dimension | Conventional | AI Talent on Demand |
|---|---|---|
| Time-to-team | 12-26 wk (hire) / 6-10 wk (Big-4 staff aug) | 2 wk |
| Pre-vetting | Resume + culture interviews | Coding test, design test, reference deployment review, AI-specific eval |
| Domain fluency | Generalist consultant pool | BFSI / healthcare / pharma / public-sector specialists by default |
| Tooling depth | Whatever the vendor sells | Tool-agnostic — open-weights, hyperscaler, our own accelerators |
| Convert to FTE | Buy-out penalty, often not allowed | Transparent buy-out, encouraged |
| Ramp down | Notice period in contract small print | Two-week notice, no penalty |
Brief us. See candidates in five working days.
A forty-minute call, then 2-3 vetted engineers per role on your desk by Friday next week.