AI & Machine Learning Teams
Hire Senior AI & ML Engineers from Argentina
Build with AI engineers who created Agentor — a production multi-agent framework — and AiSec, an AI-powered security analysis platform. From LLM integration and RAG pipelines to computer vision and MLOps, our team ships AI that works in production, not just in notebooks.
Why Argentina
Why Hire AI Engineers from Argentina
World-Class AI Talent
Argentina produces more CS graduates per capita than any other Latin American country. Our AI engineers hold advanced degrees from institutions like UBA, ITBA, and UNC — and many have published research in top ML conferences.
40–60% Cost Savings
Senior ML engineers and LLM specialists at rates that are 40–60% lower than US equivalents. Reinvest the savings into more compute, more experiments, and faster iteration cycles.
Real-Time Collaboration
UTC−3 gives you 6–8 hours of daily overlap with US teams and full-day overlap with Europe. Your AI team joins standups, pair-programs on model architectures, and demos results — all during your working hours.
Fluent Technical English
Our AI engineers write research-grade documentation, present to technical and non-technical stakeholders, and participate seamlessly in English-speaking teams. No translation layers needed.
Capabilities
AI & ML Skills You Can Hire
LLM Integration & Agents
Production LLM applications using Claude, GPT, Gemini, Llama, and Mistral. We build agentic systems with tool use, memory, planning, and multi-step reasoning. Our Agentor framework orchestrates multi-agent workflows with built-in observability and cost tracking.
RAG & Knowledge Systems
Retrieval-augmented generation pipelines with vector databases, hybrid search, re-ranking, and citation grounding. We design RAG architectures that deliver accurate, hallucination-resistant answers from your proprietary data — documents, codebases, or structured databases.
Fine-Tuning & Custom Models
LoRA, QLoRA, and full fine-tuning for domain-specific tasks. We handle data curation, evaluation benchmarks, and deployment of custom models on your infrastructure or cloud endpoints. When RAG isn't enough, fine-tuning closes the performance gap.
Computer Vision & NLP
Object detection, image classification, OCR, document understanding, and video analysis. NLP pipelines for sentiment analysis, entity extraction, summarization, and multilingual processing. Production deployments with real-time inference at scale.
MLOps & Model Deployment
End-to-end ML pipelines with experiment tracking, model versioning, A/B testing, and automated retraining. We deploy models on AWS SageMaker, GCP Vertex AI, Azure ML, or self-hosted infrastructure with GPU optimization and cost monitoring.
AI Security & Guardrails
Prompt injection defense, output filtering, PII detection, and responsible AI guardrails. AiSec — our AI security platform — demonstrates our depth in securing AI systems against adversarial attacks, data leakage, and compliance violations.
FAQ
Frequently Asked Questions
More Case Studies
Xcapit Labs
Xcapit Privacy: Machine Learning Without Seeing Your Data
How Xcapit Labs built a platform that enables collaborative machine learning on fully encrypted data using Fully Homomorphic Encryption (FHE), so organizations can train AI models together without ever exposing their sensitive information.
559+
Automated tests
15+
ML algorithms
Xcapit Labs
ArgenTor: Intelligent Multi-Agent AI Framework with Code Intelligence in Rust
How Xcapit Labs built a production-grade multi-agent AI framework with code intelligence (AST analysis, diffs, 25+ rule code review, TDD), autonomous dev teams, ReAct reasoning, cost-aware routing across 14 providers, A2A protocol, WASM sandboxing, and ISO 27001/42001 compliance — 14 crates, 1514 tests, 85K+ lines of Rust.
14
Modular crates
1514
Passing tests
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