AI Engineering · 1 minute read
Hire Generative AI Developers
To hire generative AI developers, verify production experience building and shipping GenAI applications—prompt and context engineering, evaluation, guardrails, cost and latency control, and integration—not just impressive demos. Judgment about reliability and cost at scale matters most. A delivery partner can own the app from design through adoption.
Generative AI is the most hyped and most uneven talent market in tech. Everyone can demo; few can ship. Here is how to hire generative AI developers who deliver production.
What separates production GenAI developers
- Prompt and context engineering in real systems, not playgrounds.
- Evaluation — measuring quality, not eyeballing outputs.
- Guardrails — safe, bounded behavior.
- Cost and latency control — reliability and unit economics at scale.
- Integration — models embedded in real applications and workflows.
See how FISTA delivers AI enablement and AI agents.
Screening past the demo
| Ask about | Look for |
|---|---|
| A shipped GenAI app | Production, not a demo |
| Evaluation | Real quality metrics |
| Cost + latency | Optimization at scale |
| Edge cases | Honest failure discussion |
The tell is how a developer talks about failures and trade-offs—demo builders skip them.
Hire in-house or use a partner?
Hire in-house for continuous GenAI product work; use a delivery partner for a bounded, owned outcome shipped fast—see custom AI software development and AI MVP development.
Why FISTA
FISTA Solutions builds production generative AI applications as a US-registered firm with offshore delivery, evaluation and guardrails built in, and a verified record of 150+ projects across 12+ countries.
Need GenAI that ships, not just demos? Talk to FISTA.
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Clear answers
Questions raised by this field note.
Straightforward guidance for evaluating scope, fit, and the next step.
01What skills should generative AI developers have?
Production experience with prompt and context engineering, evaluation, guardrails, cost and latency optimization, and integrating models into real applications—plus judgment about reliability and cost at scale.
02How do I avoid paying for demo-only talent?
Ask for GenAI apps they shipped to production, how they handled evaluation, reliability, cost, and edge cases. Depth shows in how they discuss failures and trade-offs, not just capabilities.
03Should I hire in-house or use a partner for GenAI?
Hire in-house for ongoing GenAI product work; use a partner for a bounded, owned outcome you want shipped fast without building the team first.
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Start with the hard problem
Need the outcome owned, not merely analyzed?
Tell us where delivery is constrained. We’ll map the fastest credible path from intent to verified production.