Senior AI & ML talent · Global vetted network
The AI engineering partner for teams that ship real systems —not demos.
We are headquartered in Armenia and place production-proven talent from our worldwide network with AI and machine learning at the core. That includes LLM applications, retrieval and agents, model evaluation, and MLOps—plus strong frontend, backend, full-stack, and design contributors when your roadmap needs a complete product, not only a model.
- ✓ World-class AI & ML engineers
- ✓ LLM, MLOps, data & product-minded delivery
- ✓ Full-stack, frontend, backend & UX/UI—alongside AI when you need the full product
- ✓ Armenia-based partner · time-zone friendly EU, US & beyond
- Focus
- AI & ML
- Talent
- Senior-only
- Coverage
- EU · US · Global
- Delivery
- Remote-first
How teams work with us
Three concrete ways to put senior AI talent on your roadmap.
Pick the model that fits your current phase. We move between them as your needs change—engagements are governed by separate SOWs, not by this page.
- 01 Embed
A senior engineer joins your team
Your standups, your roadmap, your codebase. We support performance, ramp, and continuity—you manage day-to-day.
- Single senior, dedicated 4 days/week+
- Shortlist in ≤5 working days
- Match in ≤2 weeks
Best for · Ongoing AI/ML capacity gaps
- 02 Augment
A balanced pod plugs into your roadmap
Small cross-functional team (e.g. ML + platform + product) with internal coordination. You set outcomes; we orchestrate execution.
- 2–5 senior engineers per pod
- Tech lead included
- Async + sync overlap (EU / US)
Best for · New products, focused initiatives
- 03 Project
Scoped delivery with clear outcomes
Fixed timeline, fixed deliverables, separate SOW. Production-grade, not proof-of-concept—handed off ready to operate.
- Defined milestones & acceptance
- Architecture + delivery + handover
- Optional 30-day support window
Best for · PoC graduations, bounded systems
Artificial intelligence is the new electricity.
— Andrew Ng
Co-founder, Coursera · Former Chief Scientist, Baidu · Adjunct Professor, Stanford
Stanford Graduate School of Business · 2017
Explore
Everything your team needs to evaluate us.
Capabilities, process, talent, partners, and the people behind the work—organised so engineering leaders, hiring managers, and procurement can review what's relevant to their decision.
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Capabilities
AI, ML, full-stack & design
What we staff: LLM apps, retrieval and agents, MLOps, data, plus full-stack and product design.
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Process
How engagements run
Discovery, matching in days, embedding within two weeks, and scaling up or down with your roadmap.
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Talent
Senior bench, vetted globally
Example profiles and how we represent senior bench strength without naming clients under NDA.
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Founder
Why AI Labs Armenia exists
Built in Armenia by an engineer who has shipped production AI on three continents. Here is the story.
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Partners
Ecosystem we collaborate with
Funded scale-ups, enterprise innovation units, and platform vendors—across SaaS, data, and operations.
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Contact
Start a conversation
Email, phone, location, and the right channel for a brief. Most replies within one business day.
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