Job Overview
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Job Description
About Us
Growth Partner Group is a fast-moving, digital-first business operating across multiple entities, including our main hub in the UAE (Growth Partner DMCC), Acquisity, AI Broker, and others. We operate in the high-velocity world of digital products and performance marketing, generating daily revenue through online platforms and a significant marketing budget. Acquisity builds the platform that helps entrepreneurs and agencies automate sales and marketing with AI. We've grown from $0 to multi-8 figures in under 3 years and are scaling toward 9 figures. Our flagship product is used by thousands of teams daily. We are a team of ~20 people, fully remote, with no bureaucracy.
The Work
You'll build autonomous AI agents and multi-step LLM workflows that automate complex tasks for thousands of sales and marketing teams. Every project is greenfield, with no legacy code.
Our 8-person engineering team is currently building:
- Autonomous agents that reason through multi-step tasks with planning, tool use, and memory.
- Real agent architecture, not just API wrappers.
- An operational platform (dashboards, workflow automation, client management) used daily by thousands of teams to run their businesses.
- LLM-powered onboarding and personalization pipelines that adapt to each user's business context.
You'd own features end-to-end: design conversations with product, build in Next.js (App Router) + tRPC, ship to production, and see real users benefit from what you built – often within the same week.
How We Work
- AI-first development: Cursor, Claude Code, OpenCode, Codex, and Devin are standard tools. Parallel worktrees, RAG implementations, and pgvector are common.
- Trunk-based development: Small PRs, fast merges, and rapid user feedback are prioritized. No month-long feature branches.
- Technical leadership: Our CTO writes code daily and manages engineers directly, offering architectural understanding and pair programming on complex problems.
- Ship and iterate: A working prototype in hours is valued over a perfect spec in weeks. We are agile and willing to rebuild if something isn't working.
The Stack
- Next.js (App Router)
- tRPC
- TypeScript
- Tailwind CSS
- shadcn/ui
- Postgres
- Vercel
- Vercel's AI SDK for multi-agent workflows and LLM integration
What We Are Looking For:
Must-haves:
- 4+ years shipping production React/Next.js and TypeScript.
- Experience owning full-stack features from idea to deploy.
- Comfort with Postgres and serverless infrastructure (Vercel, Cloudflare).
- Proven experience building with LLMs beyond basic ChatGPT usage.
Strong signals:
- AI coding tools (Cursor, Claude Code, OpenCode) are already part of your daily workflow.
- You've built multi-agent systems, RAG pipelines, or LLM-powered features.
- You understand embeddings, vector search, or agent architecture at a technical level.
- You ship fast without compromising quality.
We don't care about:
- Where (or whether) you went to school.
- Your ability to invert a binary tree on a whiteboard.
Comp & Benefits:
- $140K - $180K base (based on experience).
- Fully remote - work from anywhere.
- Small team, real ownership, zero red tape.
- Direct product impact visible within days, not quarters.
- Technical leadership that genuinely understands your work.
Apply
Short application, no cover letter. If you appear to be a good fit, you'll have a technical conversation with one of our engineers within a week.
Key skills/competency
- Senior Full-Stack Engineer
- Next.js
- TypeScript
- React
- AI Agents
- LLM Workflows
- PostgreSQL
- Vercel
- tRPC
- Full-Stack Development
How to Get Hired at Acquisity
- Tailor your resume: Highlight 4+ years of production React/Next.js, TypeScript, Postgres, and Vercel experience. Showcase any LLM or AI agent projects.
- Showcase AI proficiency: Emphasize your experience with AI coding tools like Cursor or Claude Code, and any RAG pipelines or multi-agent systems you've built.
- Demonstrate ownership: Detail your experience owning full-stack features from initial idea to final deployment and user impact.
- Prepare for technical conversation: Be ready to discuss your approach to AI-first development, trunk-based development, and shipping fast iterations.
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