AI Development Services
We connect U.S. companies with senior AI engineers and data scientists, from building and deploying machine learning models to taking generative AI products from proof of concept to production.
Custom
AI
Development Services
Custom AI Development & LLM Applications
We build production-grade AI applications from scratch: LLM-powered products, chatbots, copilots, and generative AI features. As an AI software development company, our custom AI development services cover the full lifecycle from data strategy to deployment, model-agnostic across GPT, Claude, Llama, Gemini, and Mistral.
AI Agents & Agentic Workflows
Design and ship autonomous AI agents that use tools, call APIs, and complete multi-step workflows. We build single and multi-agent systems with LangChain, LangGraph, and CrewAI for sales automation, customer support, research, and internal operations.
RAG & Enterprise Knowledge Systems
Build retrieval-augmented generation systems grounded in your proprietary data. We handle chunking strategies, embeddings, vector database design, hybrid search, and evaluation frameworks to deliver accurate, context-aware responses your team can actually trust.
AI Consulting & Strategy
Strategy before stack. Our senior AI consultants and AI experts help you evaluate use cases, select the right models, design architecture, and avoid common AI pitfalls, from POC-to-prod stalls to compliance gaps. Whether you need an AI consulting partner for a new initiative or to audit an existing system, we deliver actionable recommendations.
Dedicated AI Developers & Teams
Hire dedicated AI developers, or scale up to a full AI engineering team that works as an extension of your organization. Data scientists, ML engineers, LLM engineers, and MLOps specialists who follow your processes and deliver in your sprint cycles. Staff augmentation AI done right.
AI Integration & MLOps
Embed AI into your existing systems: CRMs, ERPs, data platforms, mobile apps, and internal tools. We build the infrastructure that keeps models reliable in production: CI/CD for ML, model observability, evaluation pipelines, and cost optimization.
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Hire
AI
developers
Scale your team with the best AI developers from Latin America.
- Senior, fully vetted AI and ML engineers
- AI programmers for hire with real-time collaboration across U.S. time zones
- Remote AI developers and AI experts integrated into your workflows
- Strong English and cultural alignment
Why us for Java development
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Our stack for
scalable products
LLMs & Foundation Models
We work model-agnostic so your product isn't locked into a single provider. We help you evaluate and benchmark models based on accuracy, latency, and cost for your specific use case. OpenAI (GPT-4, GPT-4o); Anthropic (Claude); Google (Gemini); Meta (Llama); Mistral.
Agentic & Orchestration Frameworks
The tooling layer that turns LLMs into reliable, testable systems. We select the right framework based on your team, observability needs, and deployment targets. LangChain; LangGraph; LlamaIndex; CrewAI; AutoGen.
Vector Databases & Retrieval
Retrieval quality makes or breaks RAG systems. We design embedding strategies, chunking, and hybrid search tuned to your data and query patterns. Pinecone; Weaviate; ChromaDB; pgvector; FAISS.
Machine Learning & Deep Learning
Beyond LLMs, we build classic ML and deep learning systems for forecasting, classification, recommendations, computer vision, and NLP. PyTorch; TensorFlow; scikit-learn; Hugging Face; spaCy / OpenCV.
MLOps & Infrastructure
Production AI needs production infrastructure. We deploy, monitor, and iterate models the same way we ship software, with observability and cost control built in. AWS Bedrock / SageMaker; Azure AI / Vertex AI; Docker / Kubernetes; MLflow / Weights & Biases; LangSmith / Langfuse.
Evaluation & Safety
AI systems fail silently. We build evaluation pipelines, guardrails, and human-in-the-loop processes so your team knows when models drift or underperform. Custom eval frameworks; RAGAS; Prompt regression testing; Guardrails AI; Human feedback loops.
Our 3-Step Process
01
Define your needs
We start by understanding your tech requirements, desired skills, cultural fit, budget, and timelines.
02
Find & vet talent
We connect you with senior nearshore developers from our network or run a tailored search, managing all screening and interviews.
03
Onboard & support
We integrate your dedicated development team smoothly, set up tools and hardware, and provide ongoing support.
Ready to get started?
Numbers that define us
Team members
NPS Score
Retention rate
Countries
Vetted candidates
AI
About Development
AI development has moved from research labs to product roadmaps. Companies today need to ship LLM features, agents, and ML systems that work reliably in production, not demos that break under real traffic. Companies looking to hire AI developers benefit from faster time-to-market, access to specialists across LLM engineering, MLOps, and data science, and a partner that knows how to bridge the gap between POC and production.
Working with senior AI developers compresses months of experimentation into weeks of shipped features. You get access to engineers who have already made the mistakes, so you can skip them: wrong model selection, broken evaluation, data leakage, runaway costs, and failed POC-to-prod transitions. Model-agnostic expertise means you stay flexible as the AI landscape shifts.
AI powers LLM-based products and copilots, AI agents for sales and operations, RAG over enterprise knowledge bases, predictive analytics and forecasting, computer vision and document intelligence, NLP for customer support automation, and intelligent workflows that replace manual work. From fintech and healthtech to retail and SaaS, AI adapts to any product stage, from MVP to enterprise deployment.
Our AI engineers work across the full production stack: OpenAI, Anthropic, and open-source LLMs for model layer; LangChain, LangGraph, and LlamaIndex for orchestration; Pinecone, Weaviate, and pgvector for retrieval; PyTorch, TensorFlow, and Hugging Face for ML and deep learning; AWS Bedrock, Vertex AI, and Azure AI for deployment; LangSmith and Langfuse for observability. Python is the backbone of most engagements, and we bring engineers fluent across the stack.
Unlike traditional software development where outputs are deterministic, AI introduces probabilistic behavior, data dependencies, and model drift. That's why AI development demands engineering discipline, not just prompt engineering. Compared to hiring in-house AI specialists, working with a nearshore partner gives you access to senior talent in 2-3 weeks instead of 4-6 months, and lets you scale your AI team up or down as your roadmap evolves, critical in a space moving this fast.
See what we’ve built together
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