Lead Project Engineer with ML hands-on experience

Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We partner with major global platforms such as Booking.com, Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes a separate fintech entity with its flagship product, PRECISION, a risk management solution, Sweden’s leading flight comparison site Flygresor.se, Tripstack, our B2B Flights as a Service Provider and world leader in virtual interlining, and Wenrix, the embedded AI platform for flights. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay. The Role Etraveli Group is scaling agentic AI across software engineering, finance, sales analytics and beyond. To support this we are looking for an AI Solutions Engineer to serve as a primary technical point-of-contact for our AI initiatives. Together with AI Business Analysis that will identify what we should build, you are responsible for the How. You will both support prototyping and transforming concepts into robust, scalable and production-ready AI systems. Hence, you will bridge the gap between rapid PoCs and core engineering, ensuring all components are reliable, secure and deeply integrated into our tech ecosystem. You will also work closely with Data and Machine Learning Engineers, Product Managers, and business stakeholders across the organisation. This is not a purely technical role. The right person can understand the underlying business needs and answer questions on feasibility and delivering value by selecting the latest AI technologies, agentic frameworks and orchestration patterns that don’t just conceptually look good, but actually solve high-stakes complexities within Etraveli. The role can be based in Gothenburg or Athens. Duties and Responsibilities Architectural Design & Scoping Study project feasibility by evaluating if the available data will suffice for the intended AI solution Perform and communicate Cost-Benefit Analyses and identify factors which are crucial to the success of a given initiative Plan integrations and design how AI solutions will communicate to existing systems Select tools and decide whether to use LLM APIs (Claude, OpenAI, Gemini), agentic frameworks, integration tooling or a more custom-build solution Prototype Development Build functional versions of AI workflows to show stakeholders how they will work in the real world Facilitate integrations between LLMs and our internal data sources, APIs and other travel platforms Customise general AI products for specific in-house use cases Productionising AI workflows Wrap AI solutions in robust APIs and deploy them into our in-house cloud so other teams can use them Own the technical architecture for AI implementations, ensuring they are scalable, maintainable, and cost-effective Collaborate with DevOps and Security teams to ensure AI solutions meet enterprise-grade privacy and compliance standards Observe deployed LLM based solution, tracking usage and costs together with more technical metrics such as drift or latency Technical Consulting & Advocacy Stay on top of latest LLM and agentic AI developments and bring relevant capabilities to the attention of the team Lead technical evaluations of new frameworks with regard to their potential of enabling new initiatives Act as the technical subject matter expert for AI within the tech organization supporting the organisation's transition to working with LLMs and agentic AI tools – helping teams move from curiosity to confident, productive use Requirements 3–5 years with a solid foundation as a Machine Learning Engineer or Backend Engineer focused on ML systems Understanding of core architectural components in modern AI systems Proficiency in Python with the ability to build scalable high performance services and integrated complex ML and AI logic into production environments Proven experience in deploying open source LLMs on on-prem infrastructure or building using external LLMs Strong understanding of RAG, vector databases and the infrastructure required to support data-heavy AI applications Exposure to concepts like CI/CD and Orchestration and a basic understanding about service monitoring and alarms as well as secrets management Benefits Our office is located in Merkurhuset in Gothenburg, a few steps away from public transport and lunch restaurants. We work on a hybrid-model where you can choose to work two days from home and you have two weeks per year that you can choose to work from a remote location We love gaming and after work activities. We know the value of personal development and continuous training. Hackathons and Dev Weeks - We believe in promoting creativity and trying new things. Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc. Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident. Daily breakfast – To kick the day off just right, breakfast is available at the office every morning. As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form. Diversity disclaimer At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.