Applied AI Engineer
New
D
DoiTCloud Technology
Remote EMEA
Location
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.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years, 1+ year
- Required Skills
- DockerPythonGCPGitJavascriptTypeScriptFirebaseNext.jsCI/CDRESTful APIsGitHubGitHub ActionsPrompt Engineering
Requirements
- 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)
- Early adopter of AI-driven engineering (e.g., used Claude Code from day one)
- Demonstrated ability to take a project from idea to deployed product independently
- Fluency in AI agents like Claude Code, Gemini CLI, and Codex
- Hands-on experience with Anthropic Claude API and/or OpenAI API, Google Gemini API
- Relentlessly current with AI stack changes (model releases, agent frameworks, protocol changes)
- Experience building or consuming MCP (Model Context Protocol) servers
- Experience designing multi-step agent workflows with tool use, decision-making, human-in-the-loop escalation, and guardrails
- Proficiency in TypeScript / JavaScript (primary language)
- Proficiency in Next.js for building internal-facing web applications
- Proficiency in Python for data processing, scripting, and AI/ML workflows
- Proficiency in Firestore / Firebase for database and backend services
- Experience with Google Cloud Platform (Cloud Run, Pub/Sub, IAM)
- Proficiency in Git / Github for version control and collaborative development
- Experience with API Design (RESTful APIs, webhooks, secure authentication)
- Experience with Containerization (Docker)
- Experience with CI/CD (GitHub Actions, Google Cloud Build)
- Experience with Observability (logging, monitoring, error tracking for AI-powered systems)
Responsibilities
- Operate as a one-person product team embedded directly into a core business function
- Identify friction points within assigned department and use AI tooling to build, code, and deploy automations end-to-end
- Achieve measurable process improvement, shipped fast
- Research problems, design solutions, code them, and launch them
- Utilize AI coding assistants heavily to multiply output
- Translate messy, real-world business workflows into clean technical solutions
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