Three ways to embed AI-native engineering into your team
From a single embedded engineer to a complete delivery pod — Meta.Dev offers staff augmentation tuned for teams that ship with AI agents, RAG pipelines, and agentic workflows as standard practice.
Embedded Engineers
Drop a vetted AI-native engineer into your team in 7 days.
Embed one or two AI-native engineers directly into your team — onboarded in a week, shipping with agentic workflows from day one. You manage them like internal hires; we handle vetting, ramp, and continuity.
Right when you need senior depth without a 3-month hiring cycle, or when your team needs an AI-fluent engineer to absorb the agentic tooling alongside delivery.
Talent categories involved
- Full Stack
- Backend & Frontend
- QA
- Virtual Assistant
What's in scope
- 1–2 embedded engineers, full-time, 7-day onboarding
- Day-1 shipping with Claude Code, Cursor, and your existing AI tooling
- Direct collaboration in your tools (Linear, Slack, GitHub)
- Monthly engagement reviews; replaceable on demand
Project Pods
A complete delivery pod for a defined scope.
A small cross-functional team — typically a Full Stack lead, one or two engineers, a QA engineer, and a Project Manager — wholly owned by Meta.Dev, ramping in two weeks and delivering against a defined scope.
Right when you have a discrete project (new product, AI workflow rollout, internal tooling initiative) and want a team that ships it end-to-end, not staff augmentation that bills against your roadmap.
Talent categories involved
- Full Stack
- Backend & Frontend
- QA
- Project Management
What's in scope
- 3–5 person pod sized to scope
- Project Manager owns ritual, risk, and delivery
- Weekly demos, fortnightly reviews
- Defined scope, deliverables, and timeline
AI Discovery Sprints
Two weeks to scope, prototype, and de-risk an agentic workflow.
A two-week paid engagement to scope an agentic workflow, build a working prototype against real data, and produce a deployment plan. Ends with a working artifact you can hand to an internal team or extend with one of our other engagement models.
Right when you have an "AI use case" idea but aren't sure what's feasible, where the value is, or how to size the build.
Talent categories involved
- Full Stack
- Backend & Frontend
What's in scope
- 2-week fixed-fee engagement
- Workflow scoping, RAG/agent prototype build
- Working artifact + deployment plan delivered at end
- Optional handoff to an Embedded Engineer or Project Pod
Not sure which fits?
Schedule a 30-minute consultation and we'll help you pick the engagement model that matches your scope and timeline.