AI-native boutique engineering consultancy
Senior engineers who own the problem, from business case to production.
ARSIAR is a boutique consultancy led by a senior engineer: backend, cloud, data, and agentic AI. We use AI to deliver the output of a much larger team, without junior layers, hand-offs, or account-management overhead. Rust, Java, Go, AWS, graph platforms, and production agentic systems. Scoped honestly, shipped, and owned.
Most software delays don’t come from typing code. They come from junior hand-offs, coordination overhead, and no one owning the problem. We removed all three.
What we do
Agentic AI & AI transformation engineering
Production agentic systems, MCP servers and clients, LLM gateways, RAG, evaluation harnesses and guardrails. For teams stuck between an AI pilot and production.
DetailsCloud & backend engineering
Rust, Java, Go, and Kotlin services. AWS serverless, event-driven architecture, graph databases (Neptune, Gremlin), data pipelines, Terraform. The systems the business runs on.
DetailsFractional tech leadership & ownership
Someone who owns the problem from business case through production: architecture, delivery accountability, and the hard technical calls. Ownership, not just advice.
DetailsWhy a small senior team
AI didn’t replace the engineer’s job. It replaced the typing. What’s left is exactly the part you hire senior people for: deciding what to build, owning the architecture, and being accountable when it hits production.
You’re not buying keystrokes. You’re buying judgment and ownership.
- 10+ years
- of backend and data engineering behind the lead
- Senior-only
- the person who scopes the work is the person who ships it
- AI-accelerated
- agents produce volume; seniors own every decision that ships
How we work
- 01
Understand the business problem
- 02
Scope honestly
- 03
Build with AI acceleration
- 04
Prove against real data fast
- 05
Hand over something you own
Selected work
A global footwear & apparel group
Graph data platform for a multi-brand ecommerce operation
Product and customer relationships moved out of relational silos into a Neptune graph platform, with ML-driven predictions and one search API for the group's full brand portfolio.
The same global consumer-brands group
MCP servers: AI-agent access to enterprise master data
The layer where AI initiatives usually stall: agents that can safely query and act on unified brand data, with governance built in rather than promised.
The same group, organization-wide
An AI gateway for every team in the organization
AI transformation that reached the whole company: one governed gateway for models, cost, and access, with generative experiments running inside it rather than around it.
A European telecommunications provider
High-availability Rust services against legacy telco platforms
New capabilities shipped alongside a legacy telecom estate: async Rust microservices on Kubernetes, no rewrite, no downtime.
Stack
- Rust
- Java
- Go
- Kotlin
- AWS
- Neptune · Gremlin
- MCP
- Terraform
- Kubernetes
Industries served
- Retail & Ecommerce
- Telco
- Marketing Tech
- Security & Observability
The syntax got cheap. The judgment didn’t.
Have a hard problem? Let’s talk.
You’ll talk to a senior engineer, not a salesperson.