Ampstek
AI Engineer
Skills
4 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Stockholm, Sweden
Work mode:
Onsite
Published on:
21 October 2026
What they need
About Us:
AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact.
With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed.
Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.
About the Role:
Job Title: AI Engineer
Location: Stockholm, Sweden Hybrid
Type of Hiring: Employment Contract
Description:
- Senior AI Engineer Specialist who can join and help drive both integration modernization and AI adoption across the train. The candidate will work closely with Architects, Product Owners, and development teams in the agile team, and play a key role in strategic initiatives such as the ongoing initiative of migration from BizTalk to modern event driven architectures.
- The candidate is expected to contribute hands-on to solution design, development, and implementation. Strong expertise in C, .NET Core, Kafka, event driven architecture, containerization, and DevOps is essential. In addition to engineering responsibilities, will act as an AI champion, identifying opportunities where AI can accelerate delivery, improve automation, streamline operations, and enable new business capabilities. The individual will work with architects and teams to design and implement AI powered solutions, establish reusable patterns and accelerators, and support the practical adoption of Generative AI technologies across initiatives.
- The ideal candidate combines deep software engineering experience with a passion for innovation and emerging technologies. Experience with cloud native architectures, integration modernization, Azure, and AI technologies such as Azure OpenAI, copilots, RAG, or agent based solutions is highly desirable. The role requires strong collaboration skills, technical leadership capabilities, and the ability to balance immediate delivery objectives with longer term transformation goals.
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