Senior engineering for AI and AWS
Akarui is a senior engineering boutique for production AI and the AWS systems beneath it. We build agentic systems and take on focused serverless, modernization, migration, and FinOps work.
Representative delivery sequence. It describes our method, not a customer benchmark.
Best fit
The strongest fit is an AWS-based engineering organization with a valuable AI use case, executive urgency, and a gap between a promising prototype and an operable product.
Three engagements
These three engagements focus on AI assessment, delivery, and adoption. We also take focused AWS Production Engineering work across serverless systems, migration and modernization, and FinOps.
Turn an AI mandate or prototype into a decision-ready production plan. We examine the use case, data, evals, security, architecture, and operating constraints before recommending what to build.
Design and deliver one bounded, high-value workflow with production controls from the start. The engagement ends with running software, operational documentation, and an explicit ownership transfer.
Create a safe operating model for Claude Code across an engineering team: repository context, permissions, workflow design, review standards, and adoption measures tied to quality—not prompt volume.
Delivery model
We do not use invented customer metrics or decorative demos as proof. Delivery produces concrete artifacts your team can inspect, operate, and extend.
Define the user outcome, unacceptable failures, data boundaries, and how success will be measured.
Turn representative cases into repeatable checks before optimizing prompts, models, or orchestration.
Connect real systems, implement identity boundaries, expose operating signals, and test failure paths.
Document decisions, run incidents, and work with the client team until they can operate the system confidently.
The senior engineer in the first conversation stays accountable through delivery.
Boutique should describe the operating model, not just the company size. Akarui is intentionally structured for direct context, fast technical decisions, and clear responsibility.
How we work
The engineer who scopes the work remains accountable through architecture, implementation, and handoff.
We define evals, failure boundaries, and operating signals before increasing model autonomy or traffic.
Architecture decisions, runbooks, and working sessions are part of delivery—not an optional final phase.
Start with the problem
A 30-minute technical scoping call is enough to determine whether the problem fits, what should happen next, and whether Akarui is the right team.