Embed senior Python/TypeScript engineers specializing in custom e-commerce agents, GraphQL tool-calling integrations, and Model Context Protocol setups. Match in 48 hours, own 100% of the code, and try it risk-free for two weeks.
Who You're Hiring
We don't place generalist "full-stack" developers and hope they figure out agentic AI. Every engineer is vetted against one of these specific role profiles.
Write custom Model Context Protocol servers and Shopify Admin/GraphQL API wrappers that expose your catalog, orders, and inventory as structured tools an LLM can safely call.
Design stateful multi-agent workflows — Manager, Design, and Communication agent patterns — that coordinate long-running e-commerce operations across systems.
Build vector-database backed retrieval layers so agents reason over large product catalogs with grounded, hallucination-resistant answers.
Ship the surrounding product: admin dashboards, approval consoles, and customer-facing chat surfaces that wrap your custom agents in a usable interface.
The Vetting Pipeline
Four stages, one filter: can this engineer ship a production agentic system on your storefront without hand-holding.
We filter for engineers with production e-commerce or agentic AI shipping history — not just tutorial-level LangChain demos.
A scoped take-home plus live pairing session on a realistic Shopify Admin API + agent-reasoning problem, graded by a senior Kovil AI engineer.
Candidates whiteboard a multi-agent architecture for a sample e-commerce workflow, defending tool-boundary and failure-handling decisions.
Only the top-scoring 4% of applicants get placed, and every placement still runs through your 2-week risk-free trial before you commit further.
Every placed engineer passes a strict vetting process focusing on agentic reasoning loops, e-commerce GraphQL API structures, and custom tool safety constraints.
A senior Kovil AI lead audits and verifies all implementation milestones to check prompt reliability, API boundary safety, and cost controls.
We track success metrics (task completion rate, tool-call accuracy, latency, and token cost per run) using programmatic eval suites from day one.
Engagement Models
From a single embedded engineer to a fully-owned outcome — the structure adapts to how much you want to manage.
1 developer, joins your team
A single senior engineer embeds directly into your existing team's stand-ups and sprint cycles, working inside your codebase and repos under your direction.
Best for: Teams that already have a technical lead and just need hands-on-keyboard capacity.
2–4 developers + delivery lead
A small pod (engineer + design/comms specialist + delivery lead) owns an entire workflow end-to-end, from architecture through production monitoring.
Best for: Brands that want a fully-owned outcome (e.g. 'automate our returns pipeline') without managing engineers day-to-day.
Fixed scope, fixed price
We scope a specific deliverable — an MCP server, a repricing agent, a support triage bot — and quote a fixed price and timeline before any code is written.
Best for: Teams with a well-defined project who want budget certainty over hourly billing.
Vetted Across the Stack
We test engineers on e-commerce logic, stateful multi-agent systems, and secure API boundaries—ensuring they deliver production-ready code from day one, not after a ramp-up period.
Kovil AI vs. Alternatives
Staffing agencies and freelance platforms weren't built to vet agentic AI skill. Here's the practical difference.
| Capability | Staffing Agency | Freelance Platform | Kovil AI |
|---|---|---|---|
| Time to first candidate | 2–4 weeks of resume shuffling | Days, but unvetted quality | Under 48 hours, pre-vetted for Shopify AI |
| Agentic AI specialization | Generalist dev pool, rarely AI-specific | Self-reported, unverified | Live-graded on MCP, LangGraph & RAG problems |
| IP ownership | Often ambiguous in contract | Varies by platform terms | 100% yours, no ambiguity |
| Delivery oversight | None — you manage the hire | None — you manage the hire | Senior Delivery Lead audits every milestone |
| Risk if it's not a fit | Long notice periods, replacement fees | Dispute resolution through the platform | 2-week risk-free trial, swap or exit anytime |
FAQ
Answers to common hiring queries for Shopify AI placements.
Deliver stateful workflows, repricers, and custom API layers with our senior resources. First 2 weeks are fully risk-free.
No upfront recruitment fees. 2-week risk-free trial on placements.