1. What a forward-deployed AI engineer does
A forward-deployed engineer embeds directly with your team, and sometimes your customers, to turn a working AI prototype into shipped, production software. They write code, talk to users, and own the result rather than handing over a spec and walking away. The model was popularised by Palantir and OpenAI, and it suits any company that needs AI shipped against messy, real-world requirements.
2. What Rafiki's forward-deployed engineers deliver
- AI features built and shipped inside your product, not a deck of recommendations.
- Custom integrations between your product and customer systems.
- Rapid prototypes validated with real users, then hardened for production.
- Hands-on delivery against a specific customer rollout or migration.
- Close support during launches, when reliability matters most.
3. How the managed model works
You send one brief. We return a vetted shortlist within 72 hours, drawn from a bench where fewer than 1% of applicants are accepted. The average engineer brings 15 or more years of experience, and the wider network has delivered 50+ international projects.
Your engineer embeds in your tools and standups, working your business hours. Billing runs through Petl Pay, so cross border payments settle without SWIFT fees.
4. Engagement options
| Option | Best for | Team | Typical start |
|---|---|---|---|
| Single specialist | One product or customer rollout | 1 engineer | Within 72 hours |
| Micro-squad | A full launch or platform build | 2 to 4 specialists | Within 1 week |
| Embedded fractional | Ongoing delivery alongside your team | 1 to 2 part-time | Within 72 hours |
5. Why fractional plus AI beats an early full-time hire
Hiring a full-time forward-deployed AI engineer is a slow, expensive bet, usually made before you know whether you need the role or how that person works. A managed fractional forward-deployed AI engineer removes that risk: senior, AI-leveraged output from day one, a commitment you scale up or down as the work changes, and a permanent hire only once you have validated the need.
Because our specialists run on best-in-class AI tooling, a single fractional engagement covers what used to take a full team. You pay for senior judgment and outcomes, not for headcount you are not yet sure about.
Our bench spans a core group in South Africa, where Rafiki's founders are from, plus vetted fractionals across the UK and Europe, all working your business hours with strong overlap for standups.
6. Frequently asked questions
What is a forward-deployed engineer?
A forward-deployed engineer embeds with your team or customers and ships AI software against real requirements, owning the outcome from prototype to production.
How is a forward-deployed engineer different from a consultant?
A consultant advises and hands over a report. A forward-deployed engineer writes the code, ships the feature, and stays accountable for whether it works in production.
How fast can Rafiki place a forward-deployed AI engineer?
We return a vetted shortlist within 72 hours of receiving your brief.
Is this a freelancer marketplace?
No. Rafiki is a managed service. We vet, match, and support every engineer, and you work with people who have cleared a screening fewer than 1% pass.
How much do they cost?
Pricing is set per brief, based on scope and seniority. A fractional forward-deployed AI engineer costs a fraction of a full-time hire, and because they run on best-in-class AI you get senior output from a flexible, lower-risk commitment instead of carrying permanent headcount before you have validated the need.
Explore the fractional AI bench: Managed Fractional AI Squads · MCP & Agent Engineers · Chat-based builds · GTM · Sales
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