AI
Agentic systems
Staff / seniorEngineers who can design tool-calling workflows, eval loops, observability, and human handoff patterns instead of shipping demo-only wrappers.
LangGraphBedrockOpenAIEvals
Hire AI engineers
Hire AI engineers who have already shipped to production.
Senior AI-native engineers who embed in your team, ship into your repo, and work with your technical leads. We focus on production systems, not demo staffing.
Bench Shape
The AI engineering capacity buyers usually need.
DP
Data platforms
SeniorBackend and data engineers who can make AI useful against production data: permissions, semantic layers, retrieval, pipelines, and reporting.
PythonPostgresBigQuerydbt
UX
AI product UX
Full-stackProduct engineers who can build streaming interfaces, review flows, dashboards, and internal tools that operators can trust daily.
ReactTypeScriptVercelDesign systems
Compare
Choose for shipped output, not the lowest hourly rate.
CoderPush Vietnam
Large offshore vendor
High-cost contractor
Senior rate
Mid
Low
High
AI-native bench
Default
Selective
Selective
Minimum engagement
6 weeks
3 months
3 months
Talk to senior engineer on day 1
Yes
Often no
Sometimes
Timezone overlap with US East
Planned handoff
Limited
Strong
Production AI ownership
Core fit
Varies
Varies
Process
How an embedded AI engineer starts producing signal.
Shape the role
We clarify the product surface, model/data stack, operating constraints, timezone needs, and seniority bar. Days 1-2.
Match the bench
You meet engineers who fit the actual delivery risk: AI product, backend/data, cloud, or full-stack ownership. Days 3-5.
Start with context
The first sprint is repo access, architecture reading, delivery rhythm, risk map, and the first useful pull request. Week 1.
Scale only if useful
Add capacity when the operating loop is working, not because a staffing plan says the team must grow. Week 3+.
FAQ
Common questions before extending a team.
01Is CoderPush a staffing vendor?+
No. We can extend your team, but the stronger fit is when senior engineers need to own product judgment, architecture, AI integration, and delivery outcomes.
02How fast can someone start?+
For the right fit, the match conversation can happen within a few days. Real start timing depends on the role, security onboarding, and availability.
03Can engineers work inside our repo and rituals?+
Yes. The normal model is embedded delivery: your repo, your standups, your review process, and clear senior ownership from CoderPush.
04What if we need a scoped AI product instead?+
Then start with the AI product lane. We can recommend a scoped build, embedded team, audit, or stop if the problem is not ready.
Next step
Talk to a senior operator before you hire.
Bring the role, roadmap, repo context, and risks. We will help decide whether you need one engineer, a small squad, a scoped product sprint, or an audit first.