Generative AI & LLM Engineering

Hire Dedicated AI, LLM & Prompt Engineers

Deploy production-grade Generative AI with pre-vetted senior machine learning engineers specializing in custom RAG pipelines, autonomous multi-agent workflows, self-hosted LLMs, and intelligent document parsing. Full-shift local timezone coverage with Day-1 100% IP ownership.

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Full-Shift Local Timezone

Flexible Timezone Alignment: Choose Dedicated Full-Shift Engineers working 100% in your local business hours (Americas, UK/EU, MEA, APAC, or Oceania) or Hybrid Overlap Squads for 24-hour velocity.

Day-1 100% IP & Model Ownership

All fine-tuned weights, prompts, and orchestration code belong 100% to you under bilateral NDA. No recurring vendor seat fees.

Worldwide Delivery

Worldwide — serving clients across North America, Latin America & the Caribbean, UK & Europe, Middle East & Africa (MEA), Asia-Pacific (APAC, including India), and Oceania.

Engineering Depth

Production AI Capabilities Our Engineers Deliver

Move beyond toy prototypes to deterministic, hallucination-resistant enterprise AI systems built for real business ROI.

Enterprise RAG Architectures

Engineer production Retrieval-Augmented Generation systems using chunking optimization, hybrid dense/sparse search, reranking models, and contextual compression across complex PDF, DOCX, and SQL repositories.

Autonomous Multi-Agent Squads

Build multi-agent collaboration frameworks (LangGraph, CrewAI, AutoGen) with persistent memory, tool-calling capabilities, human-in-the-loop approvals, and deterministic guardrails.

Private Self-Hosted LLMs

Deploy open-weights models (Llama 3.1/3.3, Mistral, Qwen 2.5) on private cloud infrastructure (AWS EC2 GPU, RunPod, vLLM) with quantized weights (AWQ/GPTQ) for complete data sovereignty and zero SaaS API charges.

Vector Databases & Semantic Caching

Implement and scale vector databases (PostgreSQL pgvector, Qdrant, Pinecone) with semantic caching layers to reduce redundant LLM API costs by up to 60% and improve response latency to under 300ms.

Intelligent Document & Invoice OCR

Combine vision-language models with OpenCV and structured JSON extraction to automatically parse unstructured purchase orders, invoices, and legal contracts straight into your ERP tables.

Fine-Tuning & Prompt Optimization

Fine-tune task-specific smaller models using LoRA/QLoRA on domain-specific datasets and engineer structured few-shot prompts with DSPy and Langfuse automated evaluation tracking.

Verifiable Engineering Proof

Applied AI in Live Production Platforms

Our AI engineers combine cutting-edge model development with hardened production software engineering.

MyProperty SaaS

LIVE SAAS

AI tenant communication assistant and automated maintenance request categorizer parsing tenant messages, detecting urgency, and routing work orders automatically.

Arhant ERP

PROPRIETARY

Automated OCR invoice extraction engine translating multi-format vendor bills into verified ERP purchase transactions with automated line-item reconciliation.

Arhant HRMS

PROPRIETARY

Predictive attrition modeling and conversational HR policy assistant helping employees query company benefits and leave policies in natural language.

Questions & Answers

Hiring AI & LLM Engineers FAQ

We operate under strict zero-data-retention and private model policies. We never train public foundation models on client proprietary data. We deploy self-hosted open-weights models (Llama 3, Mistral) on your dedicated cloud VPC (AWS, Azure, GCP) or use zero-data-retention enterprise API endpoints with comprehensive PII anonymization and end-to-end encryption.
Yes. All prompts, agent orchestrations, embedding pipelines, fine-tuned model weights, and custom API layers belong 100% to you from Day 1 under a bilateral NDA. You avoid recurring per-seat AI vendor licensing taxes.
Flexible Timezone Alignment: Choose Dedicated Full-Shift Engineers working 100% in your local business hours (Americas, UK/EU, MEA, APAC, or Oceania) or Hybrid Overlap Squads for 24-hour development velocity. Your engineers join your daily standups and collaborate live in Slack/Teams.
Our engineers build with LangChain, LlamaIndex, LangGraph, vLLM, Hugging Face, PyTorch, and Ollama. For vector search, we implement PostgreSQL pgvector, Pinecone, Qdrant, and Milvus with hybrid keyword + semantic re-ranking (Cohere Rerank) and semantic caching.
We match and onboard dedicated AI/ML engineers in 3 to 7 business days. We provide a 2-week risk-free trial: if you feel the engineer does not meet your technical expectations, you owe nothing or receive an immediate senior replacement.

Ready to build production-grade enterprise AI?

Consult directly with our AI architects to review feasibility, model selection, and vector search strategies for your enterprise.

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