WE ARE AI EXPERTS

Find the talent that
makes your AI work.

Hire senior engineers from LATAM in less than 21 days and save 60% in costs.

AI Workflow Specialist AI Automation Engineer Prompt Engineer LLM Integration Developer
PROCESSING
⚡ AI-Specialized
✓ LATAM-First
🇺🇸 US-Experienced
🗣 Bilingual Talent
7d
First candidates delivered
200+
AI roles placed
60%
Cost savings vs. US hiring
18d
Average time to hire
How we work
From brief to hire
in under 3 weeks.

Our process is simple: meet the GentaCrew team, have a call with one of our AI Recruiters to find the right technical and cultural match, and receive your first shortlist in just 7 days. Interview for free — you only pay if you hire.

01

Tell us what you need

Share your role, tech stack, and timeline. We handle the rest — no lengthy intake forms.

Day 1
02

Call with your AI Recruiter

One of our AI Recruiters digs into the technical and cultural fit you need. This is where we get it right before we start sourcing.

Days 1–2
03

We source & vet

Our team taps into a curated network of LATAM AI specialists. Every candidate is technically screened.

Days 2–7
04

You meet your shortlist

3–5 pre-vetted profiles land in your inbox. Interview for free, pick your hire, and we handle compliance.

Days 7–18
Roles we place
The 4 profiles your
AI stack actually needs.

Not generic engineers. Specialists who have shipped real AI workflows for US companies — at LATAM rates.

MS

AI Workflow Specialist

Most requested

Maps manual processes and rebuilds them with AI. Understands the business + dominates the tools. The profile a 50-person company needs when they just bought 10 AI subscriptions and don't know what to do with them.

Matías S. — Buenos Aires
$2,800–$4,200 /mo
ChatGPT Claude Make Zapier Notion AI
LC

AI Automation Engineer

High demand in startups

Connects APIs, builds flows with n8n or Make, integrates LLMs into existing systems. Not a $200k ML Engineer — someone who knows enough code to make tools talk to each other and automate real business processes.

Lucía C. — Medellín
$3,500–$5,500 /mo
n8n Make Python REST APIs LangChain
SR

Prompt Engineer

Gold for SaaS & agencies

Designs the prompts used by marketing, sales, and support teams. Builds prompt libraries, documents workflows, trains the team. For content-driven companies, this profile is worth its weight in gold.

Sebastián R. — Santiago
$2,500–$3,800 /mo
GPT-4 Claude Gemini Evals RLHF
Every role, every level.
All the details.

Click any role to explore what Junior, Semi-Senior, Senior, and Manager/Director looks like — tools, responsibilities, and salary ranges included.

AI Workflow Specialist
Process mapping, AI adoption, cross-functional implementation
Most requested

What they do

  • Assists in mapping existing manual processes and identifying automation opportunities
  • Implements simple AI workflows using no-code/low-code platforms under guidance
  • Documents AI tool usage and creates basic training materials for teams
  • Tests and QAs AI-powered automations before deployment

What they bring

  • 1–2 years experience in operations, project coordination, or digital tools
  • Familiarity with AI tools like ChatGPT, Claude, Notion AI
  • Strong written communication and documentation skills
  • Eagerness to learn, adaptable, detail-oriented

Tools

ChatGPT Claude Zapier Notion AI Make (basic)
Salary range $1,800 – $2,800 /mo

What they do

  • Audits and redesigns business processes with AI at the center
  • Builds multi-step automations integrating AI tools with existing software stacks
  • Trains teams on new AI-enhanced workflows and drives adoption
  • Collaborates with ops, marketing, and sales to identify high-ROI use cases

What they bring

  • 2–4 years experience in operations, BizOps, or digital transformation
  • Hands-on experience building real automations for business teams
  • Able to communicate technical concepts to non-technical stakeholders
  • Project management skills, autonomous worker

Tools

Make Zapier ChatGPT Claude Airtable Notion AI
Salary range $2,800 – $4,200 /mo

What they do

  • Leads end-to-end AI transformation projects across departments
  • Designs AI workflow architecture that scales with the company
  • Defines the company's AI tool stack and integration roadmap
  • Mentors junior specialists and serves as internal AI subject matter expert

What they bring

  • 4–7 years in operations, digital transformation, or AI implementation
  • Track record of shipping AI workflows that had measurable business impact
  • Strong strategic thinking — knows when to use AI and when not to
  • Experience managing cross-functional projects independently

Tools

Make n8n LangChain (basic) GPT-4 Claude HubSpot AI Salesforce AI
Salary range $4,500 – $6,500 /mo

What they do

  • Owns the company's full AI adoption strategy and roadmap
  • Builds and leads a team of AI Workflow Specialists
  • Interfaces directly with C-suite to align AI initiatives with business goals
  • Defines KPIs for AI ROI and reports on productivity impact

What they bring

  • 7+ years experience, including leadership of operations or digital transformation teams
  • Deep knowledge of the AI tooling landscape across categories
  • Proven ability to scale AI adoption in a company-wide context
  • Strong executive presence and stakeholder management

Tools

Full AI stack OKR frameworks Change management Data dashboards
Salary range $7,000 – $10,000 /mo
AI Automation Engineer
API integrations, n8n/Make flows, LLM pipelines
High demand

What they do

  • Builds basic API connections between tools using no-code platforms
  • Creates simple automation flows (Zapier, Make) with guidance
  • Debugs and maintains existing automation pipelines
  • Documents workflows and integration specs

What they bring

  • 1–2 years in automation, operations, or technical support
  • Basic Python or JavaScript knowledge
  • Comfortable working with REST APIs and webhooks
  • Analytical, problem-solving mindset

Tools

Zapier Make Python (basic) REST APIs
Salary range $2,000 – $3,200 /mo

What they do

  • Builds complex multi-step automations that integrate LLMs into business processes
  • Connects data sources, CRMs, and communication tools with AI-powered logic
  • Maintains and scales production automation pipelines
  • Works alongside product and engineering teams on integrations

What they bring

  • 2–4 years experience in automation engineering or backend development
  • Solid Python, familiarity with LangChain or similar orchestration frameworks
  • Experience connecting AI APIs (OpenAI, Anthropic, etc.) to real systems
  • Good debugging skills and production mindset

Tools

n8n Make Python LangChain REST APIs OpenAI API
Salary range $3,500 – $5,500 /mo

What they do

  • Architects end-to-end AI automation systems for the company
  • Designs scalable LLM pipelines with error handling, monitoring, and fallbacks
  • Evaluates new AI tools and decides what to adopt in the tech stack
  • Leads technical implementation of large automation projects

What they bring

  • 4–7 years in software engineering or automation, with AI focus
  • Deep expertise in LangChain, LlamaIndex, or similar frameworks
  • Experience building systems that run reliably in production at scale
  • Can translate business requirements into technical architecture

Tools

LangChain n8n Python FastAPI OpenAI API Anthropic API Docker
Salary range $5,500 – $8,000 /mo

What they do

  • Leads a team of automation engineers across multiple product lines
  • Sets the technical vision for AI automation at the company level
  • Partners with product leadership to prioritize AI investment
  • Responsible for automation reliability, cost, and ROI

What they bring

  • 7+ years in engineering, including team leadership experience
  • Track record of building AI-powered systems that moved business metrics
  • Strong technical communication — can brief execs and mentor engineers
  • Experience managing engineering roadmaps and sprint planning

Tools

Full AI engineering stack Cloud (AWS/GCP) MLOps basics Monitoring tools
Salary range $8,000 – $12,000 /mo
Prompt Engineer
Prompt design, LLM evaluation, team enablement
Gold for SaaS

What they do

  • Writes and iterates on prompts for marketing, support, and sales teams
  • Maintains a prompt library and documents best practices
  • Tests outputs across different models and prompt variations
  • Assists in training internal teams on how to use AI tools effectively

What they bring

  • Strong writing skills and linguistic sensitivity
  • Daily hands-on experience with ChatGPT, Claude, or similar tools
  • Curious, methodical, detail-oriented
  • Background in content, copywriting, or digital marketing is a plus

Tools

ChatGPT Claude Gemini Notion
Salary range $1,500 – $2,500 /mo

What they do

  • Designs systematic prompt frameworks for multiple use cases across the business
  • Runs structured evaluations (evals) to measure output quality
  • Works with product and engineering to embed prompts in workflows
  • Keeps the team updated on new models and prompt techniques

What they bring

  • 2–4 years in content strategy, UX writing, or AI-adjacent roles
  • Solid understanding of how LLMs work at a conceptual level
  • Experience running A/B tests or structured evaluations of AI outputs
  • Ability to write clear documentation for non-technical users

Tools

GPT-4 Claude Gemini Evals frameworks PromptLayer
Salary range $2,500 – $3,800 /mo

What they do

  • Leads prompt architecture for product-level AI features
  • Designs and runs rigorous eval pipelines to measure model quality at scale
  • Works closely with ML engineers on fine-tuning and RLHF initiatives
  • Defines the company's prompting standards and guidelines

What they bring

  • 4–7 years experience, including prompt engineering for production AI features
  • Deep knowledge of LLM behavior, failure modes, and mitigation strategies
  • Comfortable with Python for eval scripting and data analysis
  • Experience with fine-tuning or RLHF is a strong plus

Tools

GPT-4 Claude RLHF Python LangSmith Weights & Biases
Salary range $4,000 – $6,000 /mo

What they do

  • Owns the AI content and prompting strategy company-wide
  • Leads a team of prompt engineers and AI content specialists
  • Defines quality standards for all AI-generated content and outputs
  • Advises product leadership on AI UX and content strategy

What they bring

  • 7+ years in content, AI, or product roles
  • Deep expertise in LLM capabilities across all major providers
  • Proven leadership of technical content or AI teams
  • Experience presenting AI strategy to executives and boards

Tools

Full LLM stack Eval platforms Model APIs Team management
Salary range $7,000 – $10,000 /mo
LLM Integration Developer
RAG, embeddings, LLM APIs, product AI features
Highest ticket

What they do

  • Integrates basic LLM APIs into existing applications under senior guidance
  • Implements simple RAG pipelines with vector databases
  • Writes clean, well-documented code for AI feature integration
  • Debugs and maintains existing LLM integrations

What they bring

  • 1–2 years software development experience
  • Solid Python and REST API knowledge
  • Basic familiarity with OpenAI or Anthropic APIs
  • Willing to learn fast, collaborative, and detail-oriented

Tools

Python OpenAI API FastAPI Pinecone (basic)
Salary range $2,500 – $3,800 /mo

What they do

  • Builds production-ready RAG pipelines with chunking, retrieval, and reranking
  • Integrates multiple LLM providers into product features
  • Implements streaming, caching, and cost optimization strategies
  • Works with product and design on the AI feature experience

What they bring

  • 2–4 years backend or ML engineering experience
  • Strong Python, experience with embeddings and vector search
  • Has shipped at least one AI feature to production
  • Understands trade-offs between cost, latency, and output quality

Tools

RAG Embeddings Pinecone OpenAI API LangChain FastAPI
Salary range $5,000 – $7,500 /mo

What they do

  • Architects complex LLM systems with multi-agent orchestration
  • Owns AI feature reliability, latency, and cost in production
  • Evaluates and fine-tunes models for specific product use cases
  • Defines the AI engineering standards and review process

What they bring

  • 4–7 years backend or ML engineering, with 2+ years on LLM systems
  • Deep knowledge of RAG architectures, embeddings, and retrieval strategies
  • Experience with fine-tuning and model evaluation at scale
  • Production mindset: monitoring, alerts, fallbacks, cost control

Tools

LangChain LlamaIndex Pinecone Weaviate OpenAI API Anthropic API Docker AWS
Salary range $7,500 – $11,000 /mo

What they do

  • Leads AI engineering function across the product organization
  • Sets the vision for AI feature development and model strategy
  • Partners with CPO and CTO on AI product roadmap
  • Recruits, mentors, and grows a team of LLM engineers

What they bring

  • 8+ years in engineering, including 3+ leading AI/ML teams
  • Proven record of shipping AI-powered products used at scale
  • Ability to drive technical vision and communicate it to leadership
  • Experience managing engineering budgets and vendor relationships

Tools

Full LLM stack MLOps Cloud infra Team leadership
Salary range $11,000 – $16,000 /mo
Available now
Meet the talent
ready to join your team.

A sample of pre-vetted profiles currently available. Every candidate is technically screened and US time-zone aligned.

VR
Available
Valentina R.
LLM Integration Developer
Buenos Aires, AR
$5,500 / mo
RAG LangChain OpenAI API Pinecone FastAPI
MC
Available
Matías C.
AI Automation Engineer
Medellín, CO
$4,200 / mo
n8n Make Python REST APIs Zapier
LM
Available
Luciana M.
AI Workflow Specialist
Santiago, CL
$3,200 / mo
Make Claude Notion AI Airtable Zapier
SP
Available
Sebastián P.
Prompt Engineer
São Paulo, BR
$3,000 / mo
GPT-4 Claude Evals Gemini RLHF
Why GentaCrew
Not a job board.
Not a big agency.

A small team obsessed with one thing: finding the exact AI profile your company needs, fast.

LATAM-first network

Deep roots in Argentina, Brazil, Colombia, and Mexico. Engineers who are US time-zone aligned and English fluent.

AI-specialized vetting

We test for real AI skills, not just Python fluency. Every candidate has shipped something that runs in production.

Fast. Actually fast.

First candidates in 7 days. Hire in under 3 weeks. Because your AI roadmap can't wait for a 3-month search.

60% cost savings

Senior AI talent at LATAM rates. No compromise on quality — the savings come from geography, not experience.

We stay in the loop

Onboarding support, 90-day check-ins, and a free replacement if something doesn't work out.

Compliance handled

Contracts, payroll, and legal coverage across LATAM countries. You hire, we handle the paperwork.

Transparent pricing.
No surprises.

Flexible plans that scale with you. You only pay when you hire — risk-free from day one.

Direct Recruiting

One-time fee

We find and vet the perfect match. You hire the candidate directly and manage them on your own.

  • One-time payment — pay only if you hire
  • You employ directly
  • Interview for free, no upfront cost
  • First candidates in 7 days
  • AI-specialized vetting process
  • LATAM talent pool, US time zones
  • Laptop & equipment included (optional)
  • Buyout option available
Flexible model

We employ the candidate for you at first — then you take over when you're ready. Perfect for startups not ready to commit.

  • Monthly contract to start
  • Flexible buyout option when ready
  • Full payroll & compliance coverage
  • Laptop & equipment included (optional)
  • 90-day replacement guarantee
  • Zero risk — pay only if you hire

All plans are risk-free — you only pay after a successful hire. No hidden fees.

Our talent has worked at
Mercado Libre
Globant
Nubank
Rappi
OLX
Auth0
Ualá
Lemon Cash
Wolox
Satellogic
Bitso
Tiendanube
Kaszek
OpenAI
Scale AI
Mercado Libre
Globant
Nubank
Rappi
OLX
Auth0
Ualá
Lemon Cash
Wolox
Satellogic
Bitso
Tiendanube
Kaszek
OpenAI
Scale AI
What clients say
They stopped waiting.
Their AI stack didn't.
It's like walking into a store where someone actually understands what you need and guides you, instead of leaving you alone staring at a rack.
Ops
Head of Ops · E-commerce company, US
True connection is your superpower. Your culture and your values — it's very clear that you guys are very different from other agencies.
CEO
CEO · Consumer brand, US
We live in a day and age where customer service and care are really declining. I feel like GentaCrew is really bringing it back.
COO
COO · Consumer brand, US
It was personal, it was organized and it was professional. All together. I really haven't seen that combination anywhere else.
Mkt
Founder · Marketing agency, US
The level of competence in the candidates that GentaCrew brought to me were just a lot higher and outperformed the candidates from the other agencies.
CTO
CTO · AI-native startup, Canada
The structure of the process is extremely clear. The team you have built is excellent. I want people like your team working for me.
CEO
CEO · Digital agency, US
Our Story

We didn't build GentaCrew because we saw a market opportunity. We built it because we kept watching the same thing happen: good companies adopting AI, but hiring the wrong people to run it.

GentaCrew was born inside Vintti — a LATAM-to-US staffing company that has placed hundreds of professionals across finance, operations, and tech. When AI started becoming central to how companies operate, we noticed a gap: demand for AI-specific talent was exploding, but no one in the staffing world actually understood those roles.

Everyone was placing "AI engineers." Nobody knew what that actually meant. We do. There's a difference between a Data Scientist, an LLM Integration Developer, a Prompt Engineer, and an AI Workflow Specialist. They're not the same profile. They don't cost the same. And you can't vet them the same way.

GentaCrew is small on purpose. We don't want to be the biggest AI staffing agency — we want to be the one that actually gets it right. Our network is LATAM. Our specialty is AI. And our standard is: if we wouldn't hire them ourselves, we won't send them to you.

01

Small is intentional

We're not trying to scale into a 500-person agency. Small means every search gets our full attention.

02

AI-only, always

We don't do generalist hiring. Every role we place lives at the intersection of talent and AI.

03

LATAM is our home

We know this talent market from the inside. Not from a database — from relationships built over years.

04

Results over process

We don't care about how many candidates we send. We care about the one that actually works.

Common questions.

Everything you need to know before you reach out.

How is GentaCrew different from a generalist staffing agency?
Most staffing agencies have an "AI division" they added in the last 18 months. We were built specifically for AI talent from day one. That means we know the difference between the four profiles we place, we know how to vet them technically, and we know which LATAM markets produce the best candidates for each role. A generalist agency sees a Python developer — we see whether that person can actually build a production RAG pipeline.
How fast can you actually deliver candidates?
First vetted profiles land in your inbox within 7 days of kick-off. Full hiring process — from first profile to signed offer — typically takes under 3 weeks for most roles. Senior or highly specialized positions may take up to 4 weeks. We'll tell you upfront if your role is likely to take longer.
Do I pay anything if I don't hire?
No. Zero. You can review profiles, run interviews, and decide not to move forward — and owe us nothing. We only charge when you hire. This is a deliberate choice: it keeps our incentives aligned with yours. If we don't find the right person, we haven't earned anything.
What happens if the hire doesn't work out?
It depends on your plan. On the Staffing model, replacements are unlimited and free — if it doesn't work out at any point, we find you someone else at no extra cost. On Direct Recruiting and Startup Recruiting, we offer free replacements within the first 3 months of the hire. In all cases, we do proactive check-ins at 30 and 90 days to catch any issues early.
Which countries in LATAM do you source from?
Primarily Argentina, Brazil, Colombia, and Mexico — where we have the deepest networks and the strongest AI talent density. We also place candidates from Chile, Uruguay, and Peru for select roles. All candidates are English-proficient and work US time zones.
How do you vet AI-specific skills?
It depends on the role. For LLM Integration Developers, we run technical challenges focused on RAG, embeddings, and API integration. For AI Automation Engineers, we assess their ability to build real workflows under realistic scenarios. For Prompt Engineers, we evaluate their systematic approach to prompt design and how they run evaluations. For AI Workflow Specialists, we look for real examples of transformation projects they've led. We don't hire people who "used ChatGPT a lot."
What's the difference between your pricing plans?
Direct Recruiting is a one-time fee — you hire the person directly and manage them yourself. Staffing is a monthly model where GentaCrew acts as the employer of record: we handle payroll, compliance, equipment, and benefits, so you just work with your hire. Startup Recruiting is a hybrid — we employ the candidate at first, and you buy out the contract when you're ready to hire them full-time in-house. All three are risk-free: you only pay if you hire.

Still not sure?

Ask AI about GentaCrew

Let your favorite AI tool tell you whether GentaCrew is the right fit for your team.

Your AI crew
starts in LATAM.

Tell us what you're building and we'll find the engineer who can build it with you.