Teamified

Tech / AI / Software

AIFullStackEngineer

Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“AI Full Stack Engineer at Teamified. Skills: Next. js 14 (App Router), TypeScript, React 18, PostgreSQL, AWS, Auth0, AI-assisted development. Audit and reset our deploy workflow and CI/CD pipeline. Stand up a proper staging environment”

Industry & Context.

Tech / AI / Software
Problems you'll solve

Direct, analytical pushback is expected both ways

Eligibility Requirements

owned production on-call

What They're Looking For.

Must Have

1–5 years shipping production web applications, Production Next. js with App Router (not just Pages Router), PostgreSQL experience: migrations, indexing, transactions, raw SQL when needed, Production AWS experience: ECS or equivalent, RDS, IAM, secrets management, REST API design, OAuth, webhooks, idempotent operations, Multi-tenant SaaS architecture and related tenancy issues, written English (async work with founders in a different timezone), Comfortable with AI-assisted dev tools (Claude Code, Cursor, or equivalent)

Nice to Have

Has shipped LLM-integrated features in production (prompt design, evals, cost management), Stripe billing integration experience (subscriptions, metered billing, paywalls), Early-stage startup experience (previously 2nd or 3rd engineer in a startup), Has owned production on-call

What You'll Do.

Audit and reset our deploy workflow and CI/CD pipeline

Stand up a proper staging environment

Document the stack and architectural decisions

Establish end-to-end testing as a discipline

Build additional data ingestion connectors beyond Xero (accounting platforms

Design and build vendor utilisation integrations

Build a notifications system covering onboarding

Design and build the master vendor catalogue at scale

Extend LLM-based vendor identification and classification work

Build evaluation infrastructure for agent reliability

Productionise the agent task model (per-task pricing)

Build Tier 2 functionality: utilisation analytics

consolidation recommendations

Integrate Stripe billing and tier paywalling

Help shape the hiring of engineer #2

How You'll Work.

Team & Collaboration

Async-first, written-first; decisions are documented, not just outcomes; Two long-lived working branches (one per founder), PR to main, auto-deploy to AWS ECS in ~5 minutes; Help shape the hiring of engineer #2

Communication Scope

written English (async work with founders in a different timezone); Async-first, written-first; decisions are documented, not just outcomes

Full Job Description

**About the client** Our client is a CFO-grade vendor spend intelligence platform for 50-200 person companies. They help finance and operations leaders see their total vendor spend, manage contracts, track renewals, and capture savings — across software and services, not just SaaS. Our client is an Australian pre-seed startup with two second-time founders, a live product, paying customers in onboarding, and a SAFE round in market. We've built the product so far using AI-assisted development (Claude Code, Replit Agent). **About Teamified** **Teamified **is a talent partner helping companies build exceptional remote teams across IT, software, product, and digital innovation. We collaborate with leading enterprises and fast-scaling tech businesses worldwide to help them access world class talent and accelerate growth. With operations across the globe our mission is to make building high performing global teams simple, fast, and cost-effective. Teamified has hundreds of clients with more than 200 engineers, testers, product managers, designers, and technology experts delivering impactful solutions every day. **Job Summary:** This is a real first-engineer role, not a "join an existing team" role. You will own the codebase, set the engineering bar, and lead delivery of the next 12 months of roadmap. **Responsibilities:** Foundations (first 30–60 days) * Audit and reset our deploy workflow and CI/CD pipeline * Stand up a proper staging environment * Document the stack and architectural decisions * Establish end-to-end testing as a discipline Integrations (months 2–6) * Build additional data ingestion connectors beyond Xero (accounting platforms, identity providers, HR/payroll systems) * Design and build vendor utilisation integrations * Build a notifications system covering onboarding, alerts, and insight delivery * Design and build the master vendor catalogue at scale AI agents (months 3–9) * Extend LLM-based vendor identification and classification work * Build evaluatio

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