AI Engineer (Mid-Senior)

We are building the era of enterprise intelligence. Our vision is to improve our clients’ productivity through data and AI by creating solutions that deliver clear business impact. As a Microsoft partner, we are at the forefront of helping companies transform how they operate. What brings us together is deep technical expertise, a creative engineering mindset and a people-first culture. At Norrin, you can grow in the direction that matters to you and build solutions that make a real difference. Norrin has strong roots in Finland, but we are operating internationally across the Nordics, the United States and APAC.

We’re looking for an AI Engineer, or for the right experience a Senior AI Engineer - to join our Applied AI team in Bangkok. In this role you’ll design and build AI solutions ranging from AI agents and large language models (LLMs) to more traditional machine learning systems. You’ll work in an international team of experienced engineers, taking ownership of scalable, business-relevant AI applications while applying modern software engineering and cloud development practices. We value hands-on delivery, strong technical fundamentals, sound judgement and the ability to communicate clearly in a global team. You’ll also be part of Norrin’s AI Guild, a community where you deepen your expertise and share knowledge with peers who are as passionate about AI as you are.

🧩 Your work may include

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Designing and building end-to-end AI/ML solutions - agents, RAG systems, ML pipelines and leading the design of the more complex ones as you grow into the role

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Translating business requirements into solution architecture that balances technical feasibility with real business impact

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Developing and improving cloud-native applications (Azure preferred)

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Applying and upholding modern software engineering practices - Python, Git, CI/CD, testing and contribute actively to code reviews and design discussions

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Deploying, monitoring, and maintaining production AI systems (MLOps)

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Integrating AI solutions with APIs, databases and data platforms

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Mentoring less experienced engineers; sharing knowledge and best practices

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Working directly with clients and aligning expectations across technical and non-technical stakeholders

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Evaluating and championing new tools and practices; supporting presales with technical input and effort estimates

🌱 Why Norrin?

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People-first culture: a workplace where you can be yourself. Our culture is built on openness, equality, and mutual respect.

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International environment: work with colleagues and clients across Europe, the US, and APAC, using English as the primary working language.

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Flexible working model: hybrid work that supports both focus and collaboration.

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Benefits: generous health care allowance, provident fund, 10 days’ paid holiday per year.

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Grow with us: we support continuous learning through training, certifications, and active guild communities.

✨ What we value

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4+ years’ experience building software, data, or AI/ML solutions, with a track record of delivering and running them in production

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Hands-on experience building AI agents and LLM solutions with common libraries and frameworks

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Strong working knowledge of a major cloud platform and its ML tooling - Azure (Azure ML, AI Foundry) preferred; AWS or GCP equivalents welcome

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Strong skills in Python and solid engineering practice - Git, CI/CD, testing, code quality

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Hands-on MLOps: deploying, monitoring, and maintaining models in production

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Solid grasp of APIs, integrations, databases, and SQL

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Understanding of data engineering principles

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Ability to own delivery end to end, work independently, and guide others

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A clear communicator who can align technical and non-technical stakeholders

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Strong English (written and spoken), as English is the primary working language

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A legal right to work in Thailand or a valid work permit (please note that we cannot provide visa or work permit sponsorship for this position)

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Educational background in computer science, engineering, applied mathematics, or a comparable field (or equivalent practical experience)

➕ What’s a plus (but not required)

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Experience with Docker, Terraform, or other infrastructure-as-code tools

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Familiarity with LLM tooling (e.g. LangGraph, Azure AI Foundry)

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Familiarity with ML tooling (e.g. Pandas, NumPy, Azure AI Services)

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Experience with data platforms such as Databricks or Microsoft Fabric

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Full-stack or non-ML application development experience

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Experience working in international or consulting-style environments

📩 If this sounds like your next step

We’re excited to hear from you! Applications are reviewed continuously, and we’ll move forward as soon as we find the right person. Could it be you?