AI Engineer
Indexed description
You will also be part of Norrin’s AI Guild, a community where knowledge is shared, skills are developed together, and people actively support each other’s growth.
🧩 In This Role, You Will Be
- Working closely with customers to understand their problems and rapidly design practical AI solutions
- Implementing end-to-end AI/ML workflows, from agents and RAG setups to traditional ML where needed
- Building and deploying cloud-native applications, preferably on Azure
- Applying modern software engineering practices (Git, CI/CD, quality-oriented development)
- Using MLOps approaches to operationalize models, monitor them, and ensure they deliver value
- Integrating with APIs and enterprise systems (REST, events, custom interfaces)
- Working with databases, SQL, and pragmatic data engineering where required
- Navigating between solution shaping, hands-on implementation, and light advisory, depending on the customer phase
- People-first culture: A workplace where you can be yourself. Our culture is built on openness, equality, and mutual respect
- Flexible working model: Our hybrid model offers the best of both worlds, flexibility in your daily life and in-person collaboration when it moves things forward
- Fair compensation: A competitive salary that reflects your skills and experience
- Grow with us: We encourage continuous learning and development in a direction that matters to you
- 4+ years of experience in software or data applications, ideally with hands-on AI/ML components
- Experience with AI agents and large language models (LLMs)
- Strong cloud development background (Azure preferred)
- Strong skills in Python and modern engineering practices (Git, CI/CD, testing mindset)
- Experience with deploying and operating ML systems in production
- Solid understanding of APIs, integrations, databases, and SQL
- Ability to frame problems, design pragmatic solutions, and work directly with end-users
- Strong English and Swedish skills (written & spoken)
- Educational background in computer science, applied mathematics, engineering, or similar
- Experience with IaC and containerization (Terraform, Docker)
- Familiarity with PyTorch, LangChain/LlamaIndex, deep learning, and LLM evaluation frameworks
- Experience working with data platforms (Databricks, Microsoft Fabric, event streams, data warehouses)
- Background in structured testing approaches to ensure robustness
- Prior consulting or customer-facing engineering experience
- Prior leadership or consulting experience, with the ability to guide teams and advise stakeholders
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