ARMENIA / YEREVAN / AI ENGINEERING
AI developer and AI specialist in Armenia.
LLM systems, RAG, AI agents, n8n automation and AI-assisted product development for business workflows.
For teams in Armenia, Yerevan, CIS and global markets that need production delivery, not just a chatbot demo.
Audit, prototype, production build and support with clear data boundaries and human control.
Local AI engineering landing page
Use this page when you need to understand whether aicoding.am is the right AI engineering partner for a business process, product workflow or internal system. It shows the work areas, proof, selection criteria and delivery sequence before you prepare a brief.
AI work for real business processes
Not a self-awarded ranking
aicoding.am is useful when the task involves a real process, data source, product surface or internal workflow. The goal is to connect models with systems and constraints so the result can be reviewed, deployed and maintained.
- Founders and product teams building AI-assisted MVPs or internal tools.
- Operations, sales, support and back-office teams automating repeated work.
- CTOs and technical leads adding LLM/RAG layers to existing systems.
- Armenian and remote teams that need a service-area AI engineering partner.
Specializations
Service pages own specific intent
- AI Automation - AI automation from Armenia for n8n workflows, AI agents, CRM/ERP integrations and operations that need human approval where it matters.
- RAG Systems - RAG systems from Armenia for AI knowledge bases, document assistants and business teams that need answers grounded in trusted data.
- LLM Systems and Prompt Engineering - LLM systems and prompt engineering from Armenia for AI assistants, structured outputs, tool use and business workflow automation.
- AI-Assisted Product Development - AI-assisted product development and vibe coding from Armenia for MVPs, internal tools and production-ready business applications.
Proof
Cases before claims
- Narciss CRM - Operational control across sales, fulfillment, stock, delivery and customer communication.
- AmoBit Inbox - Cleaner operator workflows, safer media access and a stronger base for AI-assisted support and routing.
- Codex Skills / Project Memory - More repeatable engineering work for AI-assisted development, audits, maintenance and documentation-heavy systems.
How to choose an AI specialist
Practical criteria for Armenia and remote delivery
- Can they explain the workflow, users, data and failure modes before choosing a model?
- Do they have proof of production systems, integrations, RAG or automation beyond prompts?
- Will the system include evaluation, logging, human approval and deployment checks?
- Can the result be maintained after launch without depending on hidden one-off prompts?
Process
Audit to production
- Audit the workflow, data, tools, users and risk points.
- Prototype the smallest useful AI behavior and evaluate it against real examples.
- Build the production layer: integrations, permissions, UI, logging and fallbacks.
- Deploy, monitor and improve based on real usage.
FAQ
Local AI development questions
What kind of AI work can aicoding.am handle in Armenia?
The studio focuses on production AI engineering: LLM systems, RAG assistants, AI automation, AI agents, n8n workflows, CRM/ERP integrations and AI-assisted product development.
Do you work only with teams in Yerevan?
No. aicoding.am is based in Armenia and works online with teams in Armenia, Yerevan, CIS and global markets when the process, data and delivery constraints are clear.
How should a company choose an AI specialist?
Look for production systems, business integrations, clear data boundaries, RAG/LLM evaluation, human approval points, deployment discipline and maintainable handoff instead of self-awarded rankings.
What is the first step before development?
Start with a short AI audit: map the workflow, data sources, users, risk points, integration limits and the smallest useful prototype before committing to a full build.