[Hiring] Applied AI Engineer @DoiT

Role Description

Our Applied AI Engineer will be an integral part of our global business systems team. This role is based remotely in the UK, Ireland, Estonia, the Netherlands, Sweden, Israel, and Eastern Europe countries.

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.

Qualifications

• 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.
• 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.
• 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.

Requirements

• AI & LLM Stack: You live and work inside AI agents like Claude Code, Gemini CLI, and Codex.
• LLM APIs: Hands-on experience with the Anthropic Claude API (primary) and/or OpenAI API, Google Gemini API.
• Relentlessly Current: The AI stack moves weekly, not yearly. You follow model releases, new agent frameworks, protocol changes, and tooling updates as they happen.
• MCP (Model Context Protocol): Building or consuming MCP servers to connect AI agents to external tools and data sources.
• Agentic Architectures: Designing multi-step agent workflows with tool use, decision-making, human-in-the-loop escalation, and guardrails.
• Core Development Stack:
• TypeScript / JavaScript - primary language for building internal tools and automations.
• Next.js - for building internal-facing web applications and dashboards.
• Python - for data processing, scripting, and AI/ML workflows.
• Firestore / Firebase - primary database and backend services.
• Google Cloud Platform - Cloud Run, Pub/Sub, IAM.
• Git / Github - version control and collaborative development.
• Production & Reliability:
• API Design - RESTful APIs, webhooks, secure authentication patterns.
• Containerization - Docker for packaging and deploying services.
• CI/CD - automated testing and deployment pipelines (GitHub Actions, Google Cloud Build).
• Observability - logging, monitoring, and error tracking for AI-powered systems.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

Company Description

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.