Custom software development with a LATAM team typically costs $60,000 to $400,000 in 2026, with a $15,000 floor for small integrations. A SaaS MVP runs $40,000 to $120,000 in 8 to 12 weeks, versus $150,000 to $400,000 over 4 to 6 months at a US agency. Scope, seniority, and pricing model move the number most.
Those ranges hide a lot. The same customer portal brief can come back at $70,000 from one vendor and $260,000 from another, and both can be honest quotes. This guide explains what moves the number, shows rate data by role, and gives you a method for comparing proposals that were built on different assumptions.
One note on the numbers. Project ranges below come from EnzRossi proposals over the last few years. They are typical, not guaranteed. Role rates come from the same data behind our cost calculator. Where we quote an external statistic, we name the source.
What drives the cost: five factors
Every software quote is a function of the same five inputs. When two quotes differ by 3x, at least one of these is being read differently by the two vendors.
1. Scope and integrations
Screens are cheap. Integrations are expensive. A dashboard with ten views and no external systems is a few weeks of work. The same dashboard pulling from Salesforce, Stripe, and a legacy SQL Server adds authentication flows, data mapping, error handling, and rate limits. Each integration is often one to three weeks of engineering on its own, before testing.
2. Team seniority and location
A senior engineer costs more per month and less per feature. They design for change, catch problems in review, and finish work that a junior would reopen twice. Location shifts the same seniority by a wide margin. Later in this guide, a senior full-stack engineer costs $8,200 a month all-inclusive in LATAM, versus a $165,000 US base salary before benefits.
3. Pricing model
Fixed price, time and materials, dedicated team, and embedded engineers put risk in different places. Fixed price makes the vendor carry uncertainty, so the vendor pads for it. Time and materials makes you carry it. The right model depends on how well you know what you want.
4. Quality bar
Automated tests, security review, accessibility, audit logging, and compliance work (SOC 2, HIPAA, PCI) all add engineering time. A quote that skips them is not cheaper. It has moved the cost to the months after launch.
5. Timeline pressure
Compressing a six-month plan into three does not halve the cost. It usually raises it. More people means more coordination, and parallel work on a young codebase creates merge conflicts and rework. Ask any vendor what the price does if you relax the deadline by a month. The answer tells you how much of the quote is schedule risk.
Cost by project type
The table below groups the projects we see most often. The LATAM column reflects typical EnzRossi proposals with a senior-led team. The US agency column uses the MVP ratio we see in the market ($150,000 to $400,000 against $40,000 to $120,000) and extends it proportionally to the other rows, so treat it as directional rather than as a quote from any specific firm.
| Project type | Typical scope | LATAM team range | US agency range | Typical timeline |
|---|---|---|---|---|
| Internal tool or integration | One workflow, one or two integrations, small user base, basic auth | $15,000 to $60,000 | $50,000 to $150,000 | 4 to 10 weeks |
| SaaS MVP | Core workflow, auth, billing, admin panel, one or two integrations | $40,000 to $120,000 | $150,000 to $400,000 | 8 to 12 weeks (US: 4 to 6 months) |
| Customer portal or marketplace | Multiple user roles, payments, search, notifications, reporting | $60,000 to $180,000 | $200,000 to $550,000 | 3 to 6 months |
| Web plus mobile product | Shared backend, web app, iOS and Android (often React Native or Flutter) | $80,000 to $300,000 | $300,000 to $900,000 | 4 to 9 months |
| Enterprise modernization | Legacy migration, data model rework, phased cutover, compliance | $150,000 to $400,000+ | $500,000 to $1.5M+ | 6 to 12+ months |
Two patterns are worth pulling out. First, the mobile row is not a doubling of the web row. A shared backend and a cross-platform framework mean the second surface adds 40 to 60 percent, not 100. Second, the enterprise row has an open top end because the cost is driven by what you are replacing, not by what you are building. Nobody can price a migration until they have seen the old schema.
Project overruns are common enough that you should budget for them. According to McKinsey's study of large IT projects with the University of Oxford, projects run 45 percent over budget and 7 percent over time on average, while delivering 56 percent less value than predicted. According to the Standish Group's CHAOS reports, fewer than a third of software projects finish on time, on budget, and with the planned features. A 15 to 20 percent contingency line is normal, not pessimistic.
Monthly and hourly rates by role and seniority
Project totals are just people multiplied by months. If you know the rate for each seat, you can sanity-check any quote in five minutes. The table below shows EnzRossi's all-inclusive LATAM monthly rate by seniority, next to the US base salary for the same role. The LATAM figure includes payroll, benefits, local taxes, vetting, and ongoing training. The US figure is the salary on the offer letter, before any of that.
| Role | LATAM monthly, junior | LATAM monthly, mid | LATAM monthly, senior | US base salary, junior | US base salary, mid | US base salary, senior |
|---|---|---|---|---|---|---|
| Frontend engineer | $3,500 | $5,400 | $7,500 | $85,000 | $115,000 | $150,000 |
| Backend engineer | $3,700 | $5,700 | $7,900 | $90,000 | $120,000 | $160,000 |
| Full-stack engineer | $3,800 | $5,800 | $8,200 | $90,000 | $125,000 | $165,000 |
| Mobile engineer | $3,700 | $5,600 | $7,700 | $88,000 | $120,000 | $155,000 |
| DevOps / SRE | $3,800 | $6,000 | $8,300 | $95,000 | $130,000 | $170,000 |
| Data engineer | $3,700 | $5,700 | $7,900 | $90,000 | $125,000 | $165,000 |
| ML / AI engineer | $4,200 | $6,500 | $9,200 | $100,000 | $140,000 | $185,000 |
| QA engineer | $2,900 | $4,300 | $6,300 | $70,000 | $95,000 | $125,000 |
| Product designer | $3,200 | $4,800 | $6,800 | $75,000 | $105,000 | $140,000 |
| Product manager | $3,500 | $5,200 | $7,300 | $85,000 | $115,000 | $150,000 |
| Tech lead | $5,400 | $7,300 | $10,000 | $120,000 | $155,000 | $195,000 |
| Project manager | $3,000 | $4,600 | $6,500 | $70,000 | $95,000 | $130,000 |
To turn a monthly figure into an hourly one, divide by 160. A senior full-stack engineer at $8,200 a month works out to about $51 an hour. A senior tech lead at $10,000 is about $63. A mid-level QA engineer at $4,300 is about $27.
For the US side, the base salary understates the real cost. According to the US Bureau of Labor Statistics, the median wage for software developers was $130,160 in May 2023, which is about $63 an hour on base pay alone. In our cost calculator, base salary is about 62 percent of total employment cost once benefits, payroll taxes, recruiting, and management overhead are added. Apply that to the BLS median and the fully loaded cost is roughly $210,000 a year, or about $100 an hour, before any agency margin. US agencies then quote above that, because they carry sales, account management, and bench costs on top.
Country matters inside LATAM too. Our 2026 salary guide puts senior full-stack take-home pay at $55,000 to $85,000 in Brazil, $48,000 to $75,000 in Argentina, and $40,000 to $65,000 in Peru. The gap between those take-home ranges and the all-inclusive rates above is payroll, benefits, vetting, replacement guarantees, and the vendor's margin. When a vendor quotes below the take-home range for a country, someone is being underpaid, and that person will leave your project.
How pricing models change the number
The same team, the same scope, and the same twelve weeks can produce four different invoices depending on the commercial model. Each one puts risk somewhere specific.
Fixed price
You agree on scope and a number. The vendor carries the risk of underestimating, so they add a buffer, often 20 to 30 percent over their internal estimate. Scope changes go through change requests, each priced separately. Fixed price is cheaper when your spec is stable and detailed enough that a vendor can estimate it in confidence. It is more expensive when you learn as you go, because every discovery becomes a paid change request.
Time and materials
You pay an hourly or daily rate for actual work. There is no buffer, so the base rate is lower, but the total is open. Time and materials is cheaper for exploratory work, early-stage products, and anything where you expect the plan to change. It is more expensive if you cannot supervise the work, because nobody on the vendor side is rewarded for finishing early.
Dedicated team
You pay a flat monthly fee for a named team: for example, a tech lead, two full-stack engineers, and a QA engineer. Using the table above, that team costs about $30,000 a month at senior level in LATAM. You direct the backlog. Dedicated teams are cheapest for work that runs longer than four months, because the per-hour price is lower than time and materials and there is no change-request friction. They are more expensive for a two-week task. See dedicated squads for how this works in practice.
Embedded engineers
You add individual engineers to a team you already run. They join your standups, use your tools, and report to your lead. The industry calls this staff augmentation. Cost-wise, it is the same per-seat rate as a dedicated team without the vendor-side management layer, so it is the cheapest option when you already have a tech lead with capacity. It is the wrong model if nobody on your side can direct the work. Our guide to this model covers the fit test in detail.
A practical rule: use fixed price for a bounded first phase (discovery plus a thin first release), then switch to a dedicated team or embedded engineers once the product has direction. That sequence keeps early risk with the vendor and keeps later cost low.
The hidden costs
Most first quotes cover the build and stop. These are the lines that show up later, roughly in the order you will meet them.
- Discovery. One to three weeks of product and technical scoping before code starts. Some vendors include it, others bill it as a separate engagement. Skipping it is how a $90,000 project becomes $140,000.
- QA and test automation. A quote with no dedicated QA seat has either priced testing into engineering hours or has not priced it at all. Ask which. On the rate table above, a mid-level QA engineer adds $4,300 a month.
- Infrastructure. Cloud hosting, CI/CD, monitoring, error tracking, and backups. Small at MVP stage, then a real monthly line as users grow. Budget for it from month one so it does not surprise you in month eight.
- Third-party services. Payments, email, SMS, maps, authentication providers, and AI APIs each carry usage fees. They are not development cost, but they are cost, and some scale with your user count.
- Maintenance. A common industry rule of thumb puts ongoing maintenance at 15 to 20 percent of the original build cost per year. It covers dependency updates, security patches, small fixes, and the platform changes that break things. A $120,000 build implies $18,000 to $24,000 a year to stand still.
Cash planning matters more than most founders expect. According to CB Insights' analysis of startup post-mortems, running out of cash or failing to raise new capital is the single most cited reason startups fail, at 38 percent. A build that lands on budget but leaves nothing for the twelve months after launch is a failure with good engineering.
How to compare quotes fairly
Three quotes for the same brief rarely describe the same work. Before you compare totals, normalize them. Put every quote on the same footing across five items: scope included, seniority mix, QA and DevOps included or not, post-launch support included or not, and pricing model. Then adjust each quote so it covers the same things, and only then compare.
The cheapest quote is the one that already includes everything you are going to pay for.
A worked example
Suppose you are building a customer portal and you receive three proposals. The numbers are illustrative, but the pattern is one we see every month.
| Item | Quote A (fixed price) | Quote B (time and materials) | Quote C (dedicated team) |
|---|---|---|---|
| Headline price | $95,000 | $70/hr, estimated 1,600 hours ($112,000) | $24,000/month for 5 months ($120,000) |
| QA included | No | Yes | Yes |
| DevOps and infrastructure setup | No | No | Yes |
| Post-launch support | No | No | 1 month |
| Estimate overrun risk | Change requests | Hours can grow | Months can grow |
| Normalized total (QA, DevOps, 1 month support added) | About $132,000 | About $128,000 | $120,000 |
To normalize, add a mid-level QA engineer for four months to Quote A ($17,200), plus two weeks of DevOps setup and a month of support ($20,000 combined). Add the same DevOps and support items to Quote B ($16,000). Quote C already includes them. The cheapest headline (A) becomes the most expensive real cost, and the most expensive headline (C) becomes the cheapest. That reversal is the norm, not the exception.
Two more checks before you decide. Ask each vendor what happens to price if scope grows 20 percent. Ask what happens to the team if a key engineer leaves. The answers reveal how each model behaves under stress, which is where the real cost differences live.
Evaluating technical excellence when quotes look similar
Once three quotes are normalized to within 10 percent of each other, price stops being the deciding factor. At that point you are comparing engineering quality and delivery reliability, and both can be checked before you sign. This applies whether you are comparing generalist agencies or shortlisting Python development firms for a data-heavy backend.
Reference checks
Ask for two references from projects finished in the last 18 months, at a similar size to yours. Call them. Ask three things: did the project land within 15 percent of the original estimate, how did the vendor handle the first serious disagreement, and would they hire the same engineers again. A vendor who cannot produce two recent references has a delivery problem or a retention problem.
Code samples and review practice
Ask to see a pull request from a recent project, with client identifiers removed. You are not judging the code line by line. You are looking for review comments, a clear description of the change, and tests touched alongside the feature. A vendor who cannot show a single reviewed pull request is telling you that review does not happen.
Test coverage and CI
Ask what their default test coverage is on a new project and how it is enforced. The specific number matters less than whether they have one. Ask whether CI runs on every pull request and whether a failing build blocks a merge. Firms that take quality seriously answer in seconds. Firms that do not will describe their testing philosophy instead.
Delivery cadence
Ask how often you will see working software. Weekly demos of a running build are the standard for well-run teams. A vendor proposing a first demo at week eight is asking you to carry two months of blind risk. Also ask how they report progress: a burndown against a shared backlog is good, a status email is not.
Reviews and directories
Third-party reviews help, with caveats. Clutch verifies reviews through analyst phone interviews or a verified online form, which makes them harder to fake than app-store style ratings. Clutch, GoodFirms, and DesignRush all sell sponsored placement, so treat position in a list as advertising and read the reviews themselves. G2 skews to software products rather than service firms. Read the two- and three-star reviews first, since that is where the honest detail about delivery lives. Our guide to finding and comparing development companies covers each directory in more depth.
For Python-specific work, add one question: ask which parts of the stack they would not use Python for, and why. Strong Python firms have a clear answer about where Django or FastAPI stops and where a different runtime or a managed service takes over. If you would rather add Python engineers to your own team than hire a firm, see hiring Python developers from LATAM.
Ways to cut cost without cutting quality
Cost cuts that survive contact with production are the ones that remove work, not the ones that remove care. These five hold up.
- Cut scope to one workflow before you cut seniority. A senior team building half the features will outperform a junior team building all of them, and the second half will be cheaper once the first half has users.
- Use a cross-platform mobile framework. React Native or Flutter with a shared backend keeps the second platform at 40 to 60 percent of the first, instead of a full second build.
- Buy the commodity parts. Authentication, payments, email, search, and analytics are solved problems with usage-based pricing. Building them is the most expensive way to get a worse version.
- Run a mixed-seniority team with a senior lead. One senior tech lead with two mid-level engineers costs about $21,600 a month in LATAM on the rates above, and ships nearly as fast as three seniors on most product work.
- Expect AI tools in the workflow, with people in review. According to the Stack Overflow Developer Survey 2024, 76 percent of developers are using or planning to use AI tools in their development process. Teams that use them for scaffolding, tests, and documentation, and keep humans on review and sign-off, ship more per month at the same rate.
One cut that does not hold up: dropping QA to save a seat. Our post on the hidden cost of a bad hire covers the math, and it applies to bad process as much as bad people. Defects found after launch cost multiples of defects found in a sprint.
Where EnzRossi fits
EnzRossi builds custom software with LATAM engineering teams and places embedded engineers into teams that already have a lead. Projects typically land between $60,000 and $400,000 with a senior-led team, and a SaaS MVP is usually 8 to 12 weeks. Engineers pass a five-dimension vetting process covering technical depth, English communication, AI tool fluency, ownership mindset, and cultural alignment, and the top 5 percent of applicants make it through. Engagements start with a 2-week trial and run month to month, with a 30-day replacement guarantee. If you want to model your own team before talking to anyone, the cost calculator uses the same rate data as the tables in this guide.
If you are still deciding between building with a firm and hiring, the companion guides on choosing a custom software development company and building a SaaS MVP as a non-technical founder pick up where this one ends.