AI Engineers

Delivering next-generation artificial intelligence solutions demands technically strong engineers who can adapt quickly to emerging technologies and complex challenges. The AI Engineers will be integral to developing advanced AI applications centred around generative AI, large language models (LLMs), and intelligent agents. This role exists to bridge the gap between innovative AI research and practical, client-facing software solutions, enabling business transformation across a variety of sectors through scalable, adaptive AI technology.

The primary purpose of this role is to contribute technical expertise in software engineering while actively engaging with cutting-edge AI frameworks. AI Engineers will collaborate closely with multidisciplinary teams to translate AI concepts into deployable solutions, working on experimentation and iterative development cycles. Their input will directly impact the refinement and operational delivery of AI-driven products designed to meet evolving client demands, supporting business growth and digital transformation efforts simultaneously.

Day-to-day activities for the AI Engineers will involve writing clean, efficient code with a focus on software engineering fundamentals. Candidates can expect to engage in prototyping, testing novel AI algorithms, and refining models in collaboration with data scientists and product specialists. They will also be expected to communicate effectively in client settings, managing technical discussions that clarify requirements and demonstrate the feasibility of AI-driven approaches. This client interaction component demands confidence and clarity, ensuring solutions align with business objectives and address real-world challenges.

The technical environment embraces generative AI technologies, large language models, and AI agents, reflecting the growing emphasis on advanced computational linguistics and autonomous system behaviours within software development. This hybrid role situates the AI Engineer at the intersection of software engineering and AI innovation, demanding a continual appetite for learning alongside the practical application of new tools and methodologies. Flexibility around working arrangements is supported, with a hybrid model based in Stockholm offering a blend of onsite collaboration and remote focus time.

Candidates suited to this position typically have between one and three years of professional experience, ideally within software engineering or computer science disciplines, and demonstrate a keen interest in artificial intelligence development. While the role is geared towards early-career professionals, exceptional candidates outside this range may be considered. The successful AI Engineers will bring strong foundational knowledge in programming and software architecture, paired with an eager, inquisitive mindset towards the rapidly evolving AI landscape. Throughout the role, experimentation and continuous learning are encouraged, fostering fresh perspectives that drive innovation.

To excel in this environment, candidates should possess:

- A robust grounding in software engineering principles
- Experience within the 1–3 year range, although flexibility is possible for outstanding applicants
- A genuine enthusiasm for AI technologies, including LLMs, agents, and their application in software development
- Confidence to effectively communicate complex technical information in client-facing scenarios
- An appetite for experimenting with and mastering new technologies

The position is permanent and hybrid-based in Stockholm, providing a balanced working arrangement that supports both focused individual contribution and collaborative development. It is an ideal role for engineers motivated to build their careers at the forefront of AI technology, working on solutions that are shaping the future of software development and intelligent automation.

This role lies within a broad technology field dedicated to AI and machine learning engineering, serving industries seeking to harness generative AI for competitive advantage and operational improvement.