Location

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

Who We Are

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

The Opportunity

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.

What We're Looking For:

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

Required Tech Stack & Skills

AI & LLM Stack

AI Agents: you live and work inside AI agents like Claude Code, Gemini CLI, and Codex. This is not optional and not a nice-to-have. AI-driven engineering is how we build at DoiT. You use AI agents as an extension of your brain to research, code, test, and deploy - and you can critically evaluate the output. If you're not already shipping production code through AI agents daily, this role is not for you.
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. You don't wait for a blog post summary - you read the changelog, try the beta, and know when to adopt and when to skip. Today it's MCP and Claude Code, six months from now it might be something else entirely. You'll be the first to know.
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

Required Qualifications

3–5 years of professional software engineering experience, including building and deploying production applications
1+ year of hands-on experience building multimodal LLM-powered applications that run in production - AI agents, agentic workflows, or LLM-integrated tools (not just prompt experimentation)
Early adopter of AI-driven engineering - Claude Code launched in May 2025. We'd love to write "5+ years of experience with AI terminal agents" here, but the tech is barely a year old. So instead: you were there from day one. You didn't wait for a tutorial - you installed the CLI, broke things, and figured it out. If you remember when MCP had no docs, we are impressed.
Demonstrated ability to take a project from idea to deployed product independently

Are you a Do'er?

Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here and happy we hit that 'apply' button.

Full-time employee benefits include:

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

Many Do'ers, One Team

DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

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Applied AI Engineer