AI Engineer

Posted 4 Hours Ago
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Rigo Central, Rigo, Central, PNG
In-Office
4K-6K Annually
Mid level
Insurance • Financial Services
The Role
Build AI-powered experiences, scalable platform capabilities, APIs, MCPs, and Data Products. Improve data and API discovery, access, and usage while collaborating with product, architecture, engineering, and business teams. Apply platform engineering and product thinking to deliver secure, practical AI solutions, contribute to AI literacy, and support agile ways of working. The role requires software engineering experience, hands-on production AI engineering, and familiarity with modern AI, cloud, API, and data technologies.
Summary Generated by Built In

About the role


Are you passionate about how AI can shape the insurance market?


Join either Data Discovery & Experience or API Platform, two teams within API & Data Products Solutions.


Our mission is to make APIs, MCPs and Data easy to discover, understand, and use. To support that journey, we are looking for an AI Engineer who is excited about building the next generation of AI-powered experiences. Depending on your background, interests, and experience, you may join either the Data Discovery & Experience team or the API Platform team.


The Data Discovery & Experience team works closely with business and technical stakeholders to improve how APIs and Data are discovered, understood, and used as Products across If.


The API Platform team focuses on building and evolving common platform capabilities that enable secure, scalable, and efficient API consumption and integration across If and with external partners.


Both teams use agile ways of working and collaborate closely with stakeholders across business and technology domains.


The position is also a part of a larger agile Tribe responsible for providing common API and IAM capabilities that enable If's business to grow in a secure, scalable, and compliant manner. We support both internal teams and external partners through technology, products, processes, training, and governance.

What are you going to do?


  • Help shape AI-powered experiences by enabling AI agents, APIs, MCPs, and Data Products to create value for developers, employees, partners, and customers.
  • Design and build scalable platform capabilities using modern AI technologies, APIs, and Data Products.
  • Improve how APIs, MCPs, and Data Products are discovered, understood, accessed, and used across If.
  • Help evolve our Data Discovery & Experience and API Platform capabilities.
  • Work as part of a cross-functional team of Product Managers, Architects, Engineers, and business stakeholders to turn emerging AI opportunities into practical solutions with measurable business impact.
  • Apply platform engineering and product thinking to solve real business problems.
  • Help ensure secure and seamless access through open standards.
  • Contribute to AI literacy and AI-enabled ways of working across the organization.

What do we expect from you?


Must have


  • Relevant university degree, preferably within Computer Science, Software Engineering, Information Technology, Data & Analytics, or a related technical field. Equivalent practical experience is also valued.
  • Experience in the insurance industry or another regulated industry, such as banking, finance, healthcare, telecommunications, or the public sector.
  • Minimum 3 years of experience in software engineering and modern application development.
  • At least 1-2 years of practical, hands-on experience applying AI engineering practices in production or real-world applications.
  • Strong communication skills in English, to collaborate effectively with both technical and business stakeholders from other If countries.
  • Proficiency in one or more programming languages such as C#, TypeScript, or Python.
  • A curious and innovative mindset, with a passion for exploring new technologies, turning ideas into practical solutions, and creating user-focused experiences that combine AI, data, and business value.
  • Adaptability and strong communication skills, enabling you to thrive in a fast-evolving environment, embrace agile ways of working, continuously learn, and make complex technical concepts understandable for both technical and business stakeholders.

Experience from one or more of the following areas is considered a strong advantage


  • AI Agents, Agentic Workflows, and Agent Frameworks such as LangGraph, Pydantic AI, Microsoft Agent Framework, or similar technologies.
  • MCP (Model Context Protocol), including providing AI systems with context, tools, and access to enterprise capabilities.
  • Large Language Models (LLMs), Small Language Models (SLMs), prompt and context engineering, evaluation, and model orchestration.
  • Retrieval-Augmented Generation (RAG), vector search, embeddings, and semantic search technologies.
  • APIs, API Platforms, integration technologies, and secure access using open standards, as well as Data Products, Data Discovery, Analytics Platforms, and Developer Experience capabilities.
  • Cloud-native application development using Microsoft Azure or similar cloud platforms.

Our promise to you


  • Monthly salary: €3500 - €5500 gross depending on your qualifications  
  • Strong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives  
  • Career and development opportunities (e.g. 3 dedicated up-skilling days) in the biggest insurance company in the Nordics  
  • Challenging and exciting projects with autonomy to plan own tasks  
  • Extra vacation days, annual bonus, great insurance benefits, discounts on our products for you and your family, gifts, etc.  
  • Possibility of hybrid work, where office is our primary workplace  
  • A recently renovated office in Riga centre with a 24/7 gym on the premises  

Read more about benefits for our employees.


Application deadline: October 11, 2026


Your application will be processed according to our privacy notice.

Skills Required

  • Relevant university degree in Computer Science, Software Engineering, Information Technology, Data and Analytics, or a related technical field; equivalent practical experience accepted.
  • Experience in the insurance industry or another regulated industry, such as banking, finance, healthcare, telecommunications, or the public sector.
  • Minimum 3 years of experience in software engineering and modern application development.
  • At least 1–2 years of hands-on experience applying AI engineering practices in production or real-world applications.
  • Strong English communication skills for collaboration with technical and business stakeholders.
  • Proficiency in one or more programming languages, such as C#, TypeScript, or Python.
  • Curious and innovative mindset with an interest in emerging technologies and user-focused AI solutions.
  • Adaptability, strong communication skills, agile working capability, continuous learning, and ability to explain complex technical concepts.
  • Experience with AI agents, agentic workflows, or agent frameworks such as LangGraph, Pydantic AI, or Microsoft Agent Framework.
  • Experience with Model Context Protocol (MCP).
  • Experience with LLMs, SLMs, prompt and context engineering, evaluation, or model orchestration.
  • Experience with RAG, vector search, embeddings, or semantic search technologies.
  • Experience with APIs, API platforms, integration technologies, secure access standards, Data Products, data discovery, analytics platforms, or developer experience capabilities.
  • Experience with cloud-native application development using Microsoft Azure or similar cloud platforms.
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The Company
10,000 Employees
Year Founded: 1999

What We Do

If is the Nordic region’s largest property-and-casualty insurance company, serving individuals and businesses across the Nordic and Baltic countries. It provides personal, property, home, vehicle, and business insurance, supporting about 4.6 million customers with more than 10,000 employees. The company is owned by Sampo and emphasizes helping customers manage financial risks, recover from accidents, and receive reliable coverage and assistance.

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