AI & Intelligent Systems

Production-Grade AI Systems Engineering

Build, deploy, and scale enterprise AI systems. From LLM applications to ML platforms, we engineer AI solutions that solve real business problems.

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What We Engineer

Generative AI Applications

LLM-powered applications, RAG systems, and AI agents that integrate seamlessly with your business.

ML Platforms

End-to-end machine learning infrastructure for training, evaluation, and deployment at scale.

Model Serving & Inference

Production-grade systems for serving AI models with low latency, high throughput, and reliability.

Data Pipelines

Robust data infrastructure for preparing, validating, and feeding data to AI systems.

Technology Stack

LLMs & Frameworks

OpenAI
Anthropic Claude
Meta Llama
Hugging Face
LangChain
LlamaIndex

ML Platforms

PyTorch
TensorFlow
Scikit-learn
XGBoost
MLflow
Weights & Biases

Model Serving

vLLM
TensorFlow Serving
Triton
Ray Serve
BentoML
Seldon

Infrastructure

Kubernetes
AWS SageMaker
Azure ML
Google Vertex AI
Docker
Terraform

Why VortexDevs for AI Engineering

Production Experience

We build AI systems that run in production at scale, not prototypes. Deep expertise in reliability, performance, and cost optimization.

Architecture First

Proper system design upfront prevents costly reworks. We design for scalability, latency, and cost from day one.

Full Stack Ownership

From data pipelines to model serving to inference optimization, we own the entire AI engineering lifecycle.

Cost Conscious

AI infrastructure is expensive. We architect systems to minimize compute, storage, and inference costs without sacrificing quality.

Ready to Build AI at Scale?

Let's discuss your AI engineering challenges and how we can help you build production-grade systems.

Schedule a Discovery Call