VINTTI AI · WE ARE AI EXPERTS
Pre-vetted LATAM LLM Integration Developers — RAG, embeddings, OpenAI API & Pinecone experts — shipping production-ready AI features with average savings of 57% vs US hiring costs.
58%
average cost savings across all roles.
sTACK:
- LLM API Integration
- RAG Pipeline Development
- Embeddings & Vector DBs
- FastAPI / Backend
- LangChain / LlamaIndex
- Production AI Deployment
Schedule your call
⏱ 30 min
Cost Comparison
By the numbers
The numbers that matter.
7d
Average time to first qualified candidates
57
%
Average cost savings vs US-based experts
6
+
Verticals covered by our talent pool
$0
Upfront cost — pay only when you hire
GET STARTED
Tell us what you need.
We’ll send you pre-vetted candidates in 7 days. You only pay if you hire.
Schedule your call
⏱ 30 min
No commitment. First candidates in 7 days. Pay only if you hire.
PROCESS
Let’s Connect
We get to know each other and make sure we're aligned on what you're looking for.
Takes 15 minutes
Let’s Learn Your Needs
We go deeper on the role: which LLMs you're integrating, whether you need RAG, the backend framework, vector database choice, and whether this is a greenfield AI feature or an existing product integration. We qualify from there.
Takes 30 minutes
We Source & Vet
We screen for production-grade LLM integration experience, RAG architecture knowledge, and code quality. You only see developers who completed our technical build test and cleared the architecture review and English bar.
Day 7 onwards
You Hire, We Handle the Rest
Interview, select, and onboard. We manage contracts, payments, and compliance.
Hire in 18 days
COVERAGE
What can your LATAM LLM Integration Developers deliver?
RAG Pipeline Development
Developers who build retrieval-augmented generation systems end-to-end — chunking, embedding, indexing, retrieval, reranking, and prompt assembly — so your LLM answers questions accurately from your own data.
- RAG
- Chunking
- Retrieval
- Reranking
Vector Database Integration
Engineers who set up and optimize Pinecone, Weaviate, or pgvector for your use case — designing the embedding strategy, index structure, and query patterns that keep semantic search fast and accurate.
- Pinecone
- Weaviate
- pgvector
- Embeddings
LLM API Integration
Developers who integrate OpenAI, Anthropic, and Google APIs into your product — handling streaming, error management, token budgeting, fallback logic, and cost optimization at scale.
- OpenAI API
- Claude API
- Gemini
- Streaming
LangChain & LlamaIndex Implementation
Engineers who build agentic workflows, multi-step chains, and document QA systems using LangChain or LlamaIndex — accelerating AI feature development without reinventing core infrastructure.
- LangChain
- LlamaIndex
- Agents
- Chains
AI-Powered Backend APIs
Developers who wrap your LLM logic in production-ready FastAPI or Node.js services — with proper authentication, rate limiting, caching, and monitoring so your AI features scale reliably.
- FastAPI
- Node.js
- Caching
- Rate Limiting
AI Feature Productionization
Engineers who take your AI prototype and harden it for production — adding evals, observability, fallback models, cost controls, and the CI/CD pipeline needed to ship confidently.
- Observability
- LangSmith
- Cost Control
- CI/CD
WHY VINTTI AI
Vintti AI
Freelance Platforms
US-based Agencies
Technical assessment
Included and personalized
General workforce
Available, but costly
Time to first candidate
7 days
2–4 weeks setup
4–8 weeks
Cost vs US market
Up to 57% savings
Variable, low quality
Full US rates
Stack coverage
RAG, Pinecone, OpenAI, LangChain, FastAPI
Generalist profiles
Depends on agency
Account management
Included 24/7
Self-serve only
Included, at a premium
Pay model
Pay only if you hire
Hourly + platform fees
Retainer or placement fee
WHAT THEY'LL DO FOR YOUR TEAM
Tools and frameworks your new hires work with
- Python
- OpenAI API
- Anthropic Claude API
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- pgvector
- FastAPI
- Node.js
- Embeddings (OpenAI, Cohere)
- Weights & Biases
- LangSmith
- Docker
- PostgreSQL
- Redis
Roles we place
Find other roles for your AI stack needs.
Not generic engineers. Specialists who have shipped real AI workflows for US companies, at LATAM rates.
Prompt Engineer
Prompt design, LLM evaluation, team enablement
AI/ML Engineer
Model training, fine-tuning, ML pipelines, production AI
Evals Engineer
LLM evaluation, red-teaming, model quality at scale
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Data Annotation Specialist
Data labeling, annotation, dataset curation, model evaluation
NO COMMITMENT REQUIRED
Great AI starts with the right people.
Tell us the role, stack and seniority you need. We send pre-vetted candidates in 7 days. You only pay if you hire.