About the Role
A deep-tech company developing next-generation quantum computing technology is seeking an AI Implementation Engineer to accelerate research and development through practical AI adoption.
You will work closely with multidisciplinary teams across experimental research, optical and mechanical design, and control software. Your mission is to identify workflows that can be improved with AI, rapidly develop solutions using the latest AI models and coding agents, and integrate proven tools into everyday development processes.
This role goes beyond prototyping. You will be responsible for taking AI-powered solutions from problem identification and requirements definition through implementation, validation, deployment, and handover, ensuring that teams can operate and improve these solutions independently.
Quantum computing expertise is not required. The priority is the ability to turn AI capabilities into practical, measurable improvements in technical and research environments.
Key Responsibilities
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Workflow analysis and opportunity identification: Embed yourself in research, design, and software teams to understand their workflows, identify repetitive or time-consuming tasks, and prioritize opportunities for AI-driven automation.
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Rapid AI prototyping: Build and present working prototypes using the latest LLMs, AI agents, and coding tools to address real operational challenges.
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Validation and evaluation: Collaborate with researchers and engineers to test solutions against real-world data, measure effectiveness, and quantitatively evaluate output quality.
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Production implementation: Integrate successful prototypes into existing development environments and workflows, ensuring reliability, maintainability, and practical adoption.
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Documentation and knowledge transfer: Establish reusable tools, procedures, and documentation so teams can independently operate, maintain, and improve implemented solutions.
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Company-wide enablement: Turn successful implementations into reusable components and best practices that can be adopted across multiple teams.
Ideal Candidate Profile
We are particularly interested in candidates with experience in one or more of the following areas:
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Forward-Deployed Engineering / Applied AI: Experience translating customer or stakeholder requirements into AI prototypes and production-ready solutions, ideally within AI-focused technology companies.
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AI product and workflow implementation: Experience integrating LLMs, RAG, AI agents, or internal AI tools into products and business processes.
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AI-driven R&D and engineering transformation: Experience applying AI to practical challenges in research, engineering, design, experimentation, manufacturing, or other technical domains.
Required Qualifications
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Experience working in a non-software-focused domain, such as research, design, or engineering, and leading the full process from identifying operational problems and defining requirements to implementation and deployment.
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Experience deploying and operating an LLM-powered tool in a production environment that is regularly used by other team members, beyond one-off proofs of concept or demonstrations.
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Hands-on experience developing LLM applications, including agent and prompt design, tool/function calling, RAG, and quantitative evaluation of output quality.
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Experience developing production-grade software in Python, including testing, code reviews, CI/CD, and technical documentation.
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Ability to use AI coding agents, such as Claude Code or Codex, as primary development tools to rapidly build, validate, and deliver working solutions.
Preferred Qualifications
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Professional working proficiency in both Japanese and English.
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Experience collaborating with international engineering teams, including design reviews and technical specification alignment.
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Experience collaborating with research institutions or technical R&D organizations, including proof-of-concept development and requirements definition.
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Academic or professional background in physics, quantum computing, or a related technical discipline.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Shenaaz Ahmed