AI development services, staffed on demand
AI development services on a time & material model. You rent senior engineers from Eastern Europe; we are the employer of record. No fixed project scope, no agency markup, engineers on your sprint in about 2 weeks.
What these engineers build
LLM integrations — connecting OpenAI, Anthropic, or open-source models (Llama, Mistral) to your systems via API. Prompt engineering, output structuring, fallback handling.
RAG systems — retrieval-augmented generation over your internal data. Vector database setup (Pinecone, Weaviate, pgvector), chunking strategy, retrieval tuning.
AI agents — multi-step agent systems that use tools, make decisions, and operate across APIs and databases. LangChain, LangGraph, CrewAI.
ML models — training, evaluation, and productionizing custom models. Classification, regression, recommendation, forecasting.
MLOps — model deployment on AWS/Azure, CI/CD for models, monitoring, drift detection.
Why T&M beats a fixed-price AI project
AI projects don’t scope well upfront. What you need in month 3 depends on what you learn in month 1. A fixed-price contract either locks in the wrong spec or loads every change into a change order process.
On T&M: the engineers are yours to direct. You adjust the backlog as the project evolves. You pay for actual hours worked, not a padded estimate built to absorb unknown risks.
Roles available
- Hire AI engineers — senior engineers who own the full AI system: architecture, model selection, MLOps
- Hire AI developers — engineers focused on LLM integration, RAG, and AI application development
- Hire ML engineers — engineers who train, evaluate, and productionize ML models
Capabilities
- AI chatbot development — RAG-based enterprise chatbots
- Machine learning consulting — problem scoping, model development, MLOps
Why Eastern Europe for AI
Senior cohort with 10–15 years of commercial experience. Strong supply in Python, ML, and cloud. 50–70% below US senior rates, inside the EU legal perimeter.
→ Eastern Europe: the full breakdown
How an engagement starts
- Fill in the Estimator — use case, scope signals, timeline
- We return a team composition and monthly cost band in EUR/USD
- If it fits, we introduce matched engineers within 5 business days
- Engineers join your sprint within 2 weeks
We handle local payroll and compliance. You handle the work.