AI integration in Miami
Support queues in Miami rarely arrive in one language. A customer writes in Portuguese, attaches a screenshot of a Mexican bank statement, and expects an answer in the language they used. That is exactly where a language model can help, and exactly where a demo in English hides how the feature will behave for half your users.
We integrate AI into existing products with evaluation built per language: a set of real, anonymised examples in Spanish and Portuguese that every prompt change has to pass before it ships. Typical work is ticket triage, drafting replies for an agent to approve, and pulling fields out of identity and financial documents for a human to confirm. Where money or identity is involved, the model proposes and a person or a rule decides, and every decision is logged.
Miami's software buyers tend to face south. Many of the companies that set up here in the last few years came for the same reason: it is where a US-incorporated business can sit next to its Latin American customers, investors and staff. Cross-border payments, remittances, neobanks, crypto infrastructure and the US arms of Latin American companies make up a large part of the local technology market, alongside real estate, hospitality and trade. The systems they need are rarely built for one country.
That shapes the work. Money movement is the core of the product rather than a feature bolted onto it: idempotent payment calls, a double-entry ledger, reconciliation jobs that compare your records against a partner's settlement file every night and flag the difference. The product has to handle Spanish and Brazilian Portuguese properly, validate local ID numbers and address formats, and settle through rails such as Pix in Brazil and SPEI in Mexico as well as cards. Crypto products add wallets, chain indexers and custody integrations, and the same principle applies: your database has to agree with the chain, and when it drifts, somebody needs a report saying where. Real estate, hospitality and trade bring their own version of the problem, usually a workbook that runs the business and quietly disagrees with its copies.
The hiring market has moved with the migration of finance and technology firms from New York and California. Built In puts the average base salary for a software engineer in Miami at around $145,000, and engineers who are bilingual and have shipped payments work are the hardest seat to fill. That is the seat we fill for a defined build: a payments integration, a reconciliation system, a second-country launch, or the months while a permanent hire is found. Work starts with a fixed-price two-week piece, and the code belongs to you from the first commit.
We move our working day for Florida. Four hours of every working day overlap with your morning in Eastern time, stand-up included, so calls, code review and decisions happen live with the engineer who writes the code. Everything else is written down where you already work, and runbooks and architecture notes are written as we go, so the next engineer who joins can read how the money moves.
We are the right fit for a defined build: a payments integration, a reconciliation system, a second-country launch. Senior capacity starts within days, the first piece is a fixed-price two-week engagement, and we can cover the months while a permanent hire is found. Agencies serving Miami's fintech, hospitality and retail brands can put the work under their own name.
Four ways this arrives.
A prompt that behaved on twenty hand-picked inputs meets ten thousand real ones. We build the evaluation set from your actual traffic first, so a change can be judged rather than argued about.
Usually a large context sent on every call, or a big model doing a job a small one can do. We measure where the tokens go before recommending anything.
Logging that captures the prompt, the retrieved context, the model version and the output, so a support question has an answer that is not a guess.
A fallback path, a timeout that is shorter than your user’s patience, and a degraded mode that is honest about being degraded.
A weekly maintenance pulse where Claude writes only the prose, checked against a JSON schema and a whitelist of numbers, with a template that takes over when the model fails.
Read the write-up →Asked by Miami teams.
How do you work with teams in Miami?+
We are in Bengaluru and move our working day for Florida, so four hours of every working day overlap with your morning in Eastern time, stand-up included. Calls, code review and decisions happen in that window. Everything else is written down in your own tools, whether that is Slack, GitHub or Linear, and the person on every call is the engineer who writes the code.
Can you build for Latin American markets as well as the US?+
Yes, and it is more than translation. Mexican and Argentinian Spanish differ, Brazilian Portuguese is its own language, and ID numbers, address formats, currencies and instalment payments all change by country. We design localisation into the first component, format money through the platform's own internationalisation tools, and integrate the payments provider you have chosen, with room for a second provider and local rails such as Pix and SPEI.
How does your rate compare to hiring in Miami?+
Built In puts the average base salary for a software engineer in Miami at about $145,000, before equity and benefits. Our published rate is $35/hour, or $5,400 a month for an embedded engineer, with a $5,000 minimum. There is no recruiting time and no employment overhead, and work starts within days of the call. The first piece is a fixed-price two-week engagement at $2,800, so you judge us on working code.
Can you work white-label for a Miami agency?+
Yes. Miami agencies regularly win fintech, hospitality and ecommerce projects that need more engineering than the in-house team can take on at once. We work under your name as part of your team, so your client deals with you and the work arrives as yours. The NDA comes before any specifics, the code belongs to the client from the first commit, and runbooks and architecture notes are written as we go.
Will you tell us if we do not need a model?+
Yes, and it happens often. Several requests we have taken turned out to be a search problem, a rules engine, or a form with better defaults. We would rather say that in week one than bill for a year of prompt tuning.
Whose API keys?+
Yours, in your accounts, with the spend visible to you. We never proxy your traffic through infrastructure we control.
What about our data going to a provider?+
We map exactly what leaves your systems and where it lands before anything is wired up. Where that is not acceptable, self-hosted open-weight models on your own hardware are a real option and we will price both.
Do you fine-tune?+
Rarely, and not as a first move. Retrieval and prompt structure fix most of what people bring to us as a fine-tuning problem, at a fraction of the cost and with none of the retraining treadmill.