When you need to hire nearshore developers in Latin America, you don’t have to choose between a staffing agency invoice and building your own sourcing operation. You can connect the AI agent you already use — Claude, ChatGPT, Codex, or Cursor — to Get on Board’s MCP Server at https://www.getonbrd.com/mcp, search an opted-in pool of tech professionals across Mexico, Colombia, Chile, Argentina, and Peru from a plain-language brief, and run the hiring process yourself in Get on Board. This article is for companies and recruiters sourcing from Talent Database.
Why nearshore hiring and AI agents belong together
Nearshore hiring gives US and Canadian teams developers in overlapping time zones — most of Spanish-speaking Latin America works within one to three hours of US time zones — at salaries that are competitive for both sides. The usual friction is sourcing: most companies don’t know where the good candidates are, so they pay a staffing agency a recurring markup per developer to find them.
An AI agent changes that math. What an agency sells is mostly search, screening, and shortlisting — exactly the work an agent does well when it has a real talent pool to search. Give your agent access to Get on Board’s Talent Database and it can turn your hiring brief into searches, compare candidate summaries, and hand you a shortlist. You hire directly, on whatever contract or payroll setup your company uses, and no intermediary sits between you and the developer. Get on Board charges a subscription and credits for the sourcing — never a percentage of the hire, and no fee when someone signs — so your cost is the same whether you hire one developer or five.
What you search matters more than how you search
Generic AI sourcing setups chain enrichment tools — Apollo, Lusha, ZoomInfo — to scrape and guess contact data for people who never asked to be contacted, and people who never asked to hear from you rarely answer.
Get on Board’s Talent Database is different: every professional created their profile and opted in to being found by companies hiring in Latin America. The pool is deepest where the platform is the place tech professionals go to find work — Chile above all, then Colombia, Mexico, Argentina, and Peru — rather than a directory assembled about people. Profiles carry country, seniority, skills, English level, salary expectations, and a recruiter-oriented summary. The data belongs to the professionals who published it, which is why your agent gets safe summaries and profile links — never emails, phone numbers, CVs, or social URLs. Contact details stay under Get on Board’s credit system, unlocked by you in the web app. See the comparison of enrichment, scraping, and marketplace tools for the full picture.
The workflow, step by step
- Connect your agent. Paste
https://www.getonbrd.com/mcpinto a compatible MCP client — Claude Code, ChatGPT, Codex, or Cursor. You sign in to Get on Board in the browser, pick your company, and approve access. No API keys, no tokens to copy. - Give it a nearshore brief. Describe the role in plain language: stack, seniority, countries, time-zone overlap, English level, salary range. If the role is already published on Get on Board, your agent can read the job description and questionnaire directly and use them as the brief.
- Let the agent search and shortlist. It searches Talent Database, reads privacy-safe candidate summaries and profile details, filters against your criteria, and explains why each candidate fits.
- Move to Get on Board for the human steps. Open each candidate’s profile link in the web app to review the full profile, unlock contact details with Talent Database credits, and invite candidates to your process. If the job is published on Get on Board, Superpower AI can also help you review incoming applicants.
What your agent can and cannot do
Your agent can search candidates, read privacy-safe profiles, and list and read your own published jobs. It cannot unlock contact details, invite candidates, or apply on anyone’s behalf — those actions stay in the web app, under your account and your credits. That split is deliberate: discovery is automated, decisions about people stay with you.
Example prompts
Find senior React Native developers in Mexico or Colombia with English C1, available for full-time remote work with US East Coast overlap.
Use my "Backend Engineer (Node.js)" job on Get on Board as the brief and shortlist 10 candidates from Talent Database, ranked by fit, with profile links.
Compare these three candidates for a nearshore data engineering role: strengths, risks to clarify in an interview, and expected salary range.
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