Embedded AI Teams
Add individual engineers your leads manage, or a full team we manage for you. Same time zone, nearshore cost, productive in days instead of weeks.
From open role to a productive engineer
Days until a new senior engineer is shipping
The problem
A senior engineering hire takes 44 days on average. Then a month of onboarding before they ship anything meaningful. Meanwhile, priorities move, your team absorbs the gap, and the AI initiatives leadership asked for stay on the backlog.
You need engineers who already work the way your team works. We have them, vetted and ready to interview.
Embedded AI Teams: Two models
We manage the work
A team that owns the outcome.
A cross-functional team that designs, builds, and ships what you prioritize, under a clear Build, Operate, Transfer framework. A Delivery Manager owns delivery health, backed by our Product, AI, Engineering, and PMO guilds. Scope is agreed upfront and adapts as your priorities change.
Delivery stack with our IP:
Best for
Best for new products or AI initiatives that need a team running delivery end to end.
You manage the work
Right talent, embedded into your team.
We source and recruit the senior profiles you need across our talent network, and help you define them. Each professional joins your team directly, working within your processes, tools, and culture. Onboarding, day-to-day management and integration are yours.
Best for
Best for teams with strong engineering leadership that need more hands on a known roadmap.
| Team Augmentation (TA) | Team as a Service (TaaS) | |
|---|---|---|
| Who manages the work | Your leads | Our Delivery Manager |
| What you get | Senior talent | Cross-functional team plus a leadership layer |
| Onboarding to the project | You own it | We own it, accelerated by Sokuvo |
| Scope | Your backlog, your process | Agreed upfront, adapts as priorities shift |
| Delivery stack | Not included | Sokuvo, T.R.U.S.S., T.R.U.S.S. Compass, DeliveryOS, Socrates |
| Best when | You need more hands now | You need a result owned end-to-end now |
Not sure which fits? You can start with one and move to the other as your needs change. We'll help you pick on the first call.
Why Arionkoder
We source and validate around 800 engineers every month, so the right profile is usually already vetted when you call. Plus, AI-powered recruiting and continuously nurtured talent pipelines get you a first candidate in 8 days.
800 / 8 days
4 days to onboard for TaaS. Sokuvo, our AI-powered context orchestration system, maps your codebase, decisions, and conventions so new engineers ship sooner. When someone rotates out, the knowledge stays.
4 days
No juniors learning on your codebase. Every engineer we place has shipped production systems and works with autonomy from week one.
01
Our engineers build with Cursor, Claude Code, and agentic workflows every day. Every Arionic brings strategic thinking, problem-solving, and continuous learning to how they use AI, built through Socrates, our AI-native transformation program.
AI
Real-time collaboration with US teams at nearshore rates. No overnight handoffs, no 12-hour feedback loops.
US / LATAM
10% annual attrition, against an industry benchmark of 18%. Monthly pulse surveys and 1:1s catch signals early.
10% vs 18%
Strong technical skills, AI adaptability, and the ownership, communication, and collaboration that high-performing teams run on. Every candidate goes through four stages: recruiter screen, technical challenge, technical interview, and a final fit interview, validated by you or by us.
4 stages
How it works
01
Day 1
We map your roadmap, gaps, and constraints, and recommend a model.
02
Within days
Pre-vetted senior profiles matched to your stack and domain. You interview only the ones worth your time.
03
Under 20 days
Engineers join your squads, or the managed team kicks off with a Delivery Manager and a first-sprint plan.
04
+4 days (for TaaS)
In Team as a Service, the Delivery Manager and Sokuvo get the team up to speed on your codebase.
05
Ongoing
Add people, rotate profiles, or switch models as priorities change. If a role opens up, we share a first candidate in 2 days and fill it in about 15.
Industries
Booking flows, loyalty engines, inventory and pricing systems that can't go down during peak season.
Product teams scaling features, integrations and AI capabilities without slowing the release cadence.
Compliance-heavy environments where security, auditability, and documentation are part of the work.
Clinical and support workflows in HIPAA environments, where patient data stays protected, and AI has to earn the trust of the people using it.
Flexible bench capacity at nearshore cost, so you staff client projects without carrying idle headcount.
FAQs
In 30 minutes, we'll tell you which Embedded AI Teams model fits (TA or TaaS), what profiles we'd put on it, and how fast they could start. No résumé dump, no pressure.
Book a 30-minute callor write to hello@arionkoder.com