Hire AI Engineers
Square places vetted AI engineers from Tirana into your team as dedicated nearshore engineers or staff augmentation. They build production AI features — LLM-powered apps, retrieval-augmented generation, agents and model integrations — wired into real products with the same backend and reliability discipline we apply everywhere. Full CET overlap, fluent English and Italian, and EUR 35-55/hour. We build practical AI that ships, not demos.
PythonTypeScriptLLM APIsRAGVector DatabasesLangChainNode.jsPrompt Engineering
What they do
- Build LLM-powered features: chat, summarization, extraction and classification
- Implement retrieval-augmented generation (RAG) with vector search over your data
- Design and ship AI agents and tool-use workflows wired into real APIs
- Integrate model providers, manage prompts, evaluation, cost and token budgets
- Productionise AI: guardrails, observability, latency and reliability under load
Why nearshore with Square
- Full CET overlap — iterate on prompts, evals and agents live in your working day
- Engineers fluent in English and Italian; AI scoping and reviews in your language
- EUR 35-55/hour, typically 30-60% below comparable Western-European AI hires
- Multi-stage vetting on real LLM and integration tasks, not just framework familiarity
- Backend-grade discipline: AI features that are observable, cost-aware and production-ready
Frequently asked questions
How much does it cost to hire an AI engineer?
AI engineers sit within our EUR 35-55/hour band depending on seniority and specialisation, billed transparently per month. For Italian, EU and US companies that is typically 30-60% below an equivalent Western-European AI hire, with no recruiter or markup layer.How quickly can an AI engineer start?
We usually present a vetted shortlist within about a week and embed the engineer in 2-3 weeks. AI roles vary widely — RAG, agents, applied ML — so we scope your exact use case during matching, which keeps the fit tight.Are these ML researchers or applied AI engineers?
Applied AI engineers. They specialise in building production features on top of LLMs and ML services — RAG, agents, integrations, evaluation and cost control — rather than training foundation models from scratch. The focus is shipping reliable AI inside real products.What about contracts and IP ownership?
Engagements are monthly with a short notice period, as a dedicated engineer or staff augmentation. You own all code, prompts, data pipelines and model configurations — no lock-in, and we keep your API keys and data under your control.