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AI Engineering Company

Senior AI engineers who scale with you from MVP to unicorn.

Arcolabs.dev is the senior, remote AI engineering team behind fast-moving startups. We design and build AI workflows, AI agents, AI automation and RAG systems, built on event-driven, cloud-native foundations on GCP, AWS and Runpod that scale from your first MVP to a fully-scaled unicorn.

  • AI Workflows
  • AI Agents
  • AI Automation
  • RAG

Senior AI engineers only · Embedded full-time · Long-term contract engagements

20+
Startup contracts
pre-Seed → Unicorn
Stages we scale with
AI-first
Workflows · Agents · RAG
100%
Senior AI engineers
What we do

AI engineering, end to end

AI workflows, AI agents, AI automation and RAG — built on solid architecture and production-grade engineering, and tuned to stay fast and cost-efficient as your startup grows.

AI Engineering

Production-grade AI that does real work in your business — designed, built and operated by senior AI engineers.

  • AI workflows & orchestration
  • AI agents & multi-agent systems
  • AI automation of business processes
  • RAG over your docs & data
  • LLM integrations (OpenAI, Claude, Gemini, open-source)
  • Evaluation, guardrails & observability

Architecture

Event-driven, scalable system design for AI-powered products that holds up under real-world load.

  • Architecture for AI agents & RAG
  • Event-driven & distributed systems
  • Microservices or serverless
  • Cloud architecture on GCP, AWS & Runpod

Development

Full-stack products with AI built in — from greenfield MVPs to scaling existing platforms.

  • AI-powered features & integrations
  • Full-stack development
  • Cloud-native services on GCP, AWS & Runpod
  • CI/CD, testing and observability

Optimizations

Make existing systems and AI pipelines faster, cheaper and more reliable — measurable improvements, not guesswork.

  • LLM cost & latency optimization
  • Performance & latency tuning
  • Cloud & GPU cost optimization
  • Reliability & scalability hardening
  • Legacy modernization

Not sure where AI fits in?

Book a discovery call and we'll help you find the highest-impact AI workflows, agents or automations to start with — no commitment.

Talk to an AI engineer
How we work

AI engineers who scale with you

Our AI engineers embed with your company long-term on a contract basis and grow with you — turning AI from a demo into production workflows, agents and automation, from a pre-seed MVP to a fully-scaled unicorn.

01

Join your team

Senior AI engineers embed full-time on a contract basis — ramping up on your domain, data and goals, and finding where AI creates real leverage from day one.

02

Architect AI for scale

AI workflows, agents and RAG on event-driven, cloud-native foundations on GCP, AWS or Runpod — designed to grow from your first MVP to millions of users without a rewrite.

03

Ship AI to production

Working AI automation every sprint, with evals, guardrails, CI/CD and observability built in. We stay engaged for as long as you need us — months or years.

04

Scale from seed to unicorn

As you raise and grow, we scale the system and the team alongside you — through every funding round, all the way to a fully-scaled product.

The team

Senior AI engineers, working remotely

A distributed team of AI engineers and architects who have shipped and scaled AI-powered, cloud-native products. Every engagement is remote and contract-based — and staffed only with seniors.

Viktor Vilskyi — AI Software Engineer & Cloud Architect

Viktor Vilskyi

AI Software Engineer & Cloud Architect

13+ years building distributed, event-driven cloud-native systems. Builds AI workflows, AI agents and RAG pipelines on top of real-time, microservice & serverless architectures.

Yevgeny Ofer — Software Engineer & Team Lead

Yevgeny Ofer

Software Engineer & Team Lead

11+ years shipping distributed, event-driven, cloud-native systems end-to-end: frontend, backend, infrastructure, AI solutions. Ex-Ebay engineering manager.

In their words

Trusted by startups

Arcolabs consistently demonstrated strong technical depth, ownership, and the ability to work across complex distributed systems involving real-time camera stream processing, recognition pipelines, automation frameworks, shared libraries, and high-scale backend services.

Max Trosman
Team Leader, Anyvision

They know exactly how to tackle complex challenges and consistently deliver highly effective solutions without overcomplicating the architecture. The domain knowledge is incredibly strong, which always gave us a great deal of confidence when utilizing the services they built.

Tamir Kashinsky
Team Leader, Rapid7
SkaleAnyVisionSyte.aiRapid7TerrificeBay
and many more
Get in touch

Let's build together

Tell us about your project — AI workflows, AI agents, AI automation, RAG, or the architecture behind them. We'll get back to you within one business day to scope an engagement.

  • Senior, fully-remote AI engineering team
  • AI workflows, agents, automation & RAG
  • Embedded full-time, long-term contract
  • GCP, AWS & Runpod cloud platforms