Applied AI Engineer

DoiT

5h•Remote

About The Position

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work along We are bringing the "Full Stack Builder" model to DoiT's internal operations. As an Applied AI Engineer, you are a one-person product team embedded directly into a core business function. This is not an IT support role. You are not fielding tickets. You have a dedicated product surface - your assigned department - and a clear success metric: measurable process improvement, shipped fast. You will rely on your empathy and judgment to identify the friction, and you will use modern AI tooling to build, code, and deploy the automations end-to-end. You live and breathe AI. You automate your own life for fun, you use AI agents as an extension of your own brain, and you get a genuine dopamine hit from taking a slow, manual process and turning it into a seamless, AI-driven workflow.

Requirements

The Solver Mindset: You can research a problem, design a solution, code it, and launch it. You use AI coding assistants heavily to multiply your own output.
The AI-Native Builder: You don't just know about AI. You build with it daily. You instinctively reach for tools like Claude Code, Gemini CLI and Codex to multiply your output. You are fluent in modern AI coding environments and autonomous agents like Claude Code.
Strong Software Fundamentals: You produce production-quality code, not just brittle scripts.
AI Integration Experience: Hands-on experience with LLM APIs, prompt engineering, RAG, MCP, and agent-based architectures.
Extreme Empathy: Translating messy, real-world business workflows into clean technical solutions requires deep listening and communication skills. You can speak "Engineering" and business language equally well.
Self-Direction: There is no established playbook for this role. You will need to find the work, scope it, build it, and prove it mattered.

Responsibilities

Embed & Discover: Audit real workflows in your assigned department. Find the "Human API" moments where smart people are doing robotic work (copy-pasting, manually reconciling data).
Provide the "Golden Start": Build default, pre-configured AI setups for your department teammates. Don't make an accountant figure out how to connect an LLM to NetSuite; build the integration, secure the endpoints, and hand them the keys.
Ship Foundational Wins: Build and deploy initial AI-powered automations using DoiT's standard stack (Next.js, TypeScript, Firestore, Cloud Run, and Claude API) to build trust and show what's possible.
Educate & Enable: Train your department teammates on the tools you build. Foster their growth so they can start writing their own prompts, configuring their own agents, and automating their own workflows.
Measure Outcomes: Track the time and cost savings for every automation shipped in your department. No vanity metrics, just real business outcomes.