AI Engineer at SMG Swiss Marketplace Group

Belgrade, Central Serbia, Serbia -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, LLMs, GenAI, OpenAI APIs, LangChain, LlamaIndex, Hugging Face, RAG Systems, Vector Search, Embeddings, ML Pipelines, Deployment, Monitoring, Data Analysis, Prompt Experimentation

Industry

Software Development

Description

Company Description Welcome to SMG Swiss Marketplace Group We are a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. A little bit about us to help ignite your imagination SMG Swiss Marketplace Group came together following the merger of Scout24 Switzerland and TX Markets in 2021. A union which included some of Switzerland’s most well-known leading marketplaces. Our exciting portfolio currently spans four business areas and includes Real Estate (immoscout24.ch, homegate.ch, ImmoStreet.ch, home.ch, Acheter-Louer.ch, Flatfox, Casasoft), Automotive (autoscout24.ch, motoscout24.ch, CarAuktion), General Marketplaces (anibis.ch, tutti.ch, Ricardo.ch) and Finance and Insurance (financescout24.ch, Moneyland.ch). At SMG Serbia, 140+ talents thrive in a fast-paced, collaborative environment, guided by our values: Better Together, Aim High, and Act Responsibly, shaping the future of digital marketplaces. Job Description As an AI Engineer at Swiss Marketplace Group's Real Estate Business Unit, you will contribute to the data hub for the leading real estate platforms in Switzerland, which includes homegate.ch and immoscout24.ch among others. You will be part of a cross-functional, agile data team with an open mindset and teammates who enjoy learning new skills and sharing theirs. You will design, build, and deploy AI solutions with a strong focus on LLM-powered systems, including chatbots, information retrieval, and generative AI applications. You will work as part of the Data Science & Engineering team, collaborating closely with data scientists, engineers, and product stakeholders to deliver production-ready AI features. About The Position Design and implement LLM-based use cases (chatbots, RAG systems, summarization, classification, evaluation). Integrate LLMs with internal data sources using retrieval techniques (vector search, embeddings). Build, evaluate, and monitor Generative AI pipelines from experimentation to production. Apply best practices for scalable, reliable, and responsible AI systems. Perform data analysis and prompt experimentation to improve model performance and user experience. Write, review, and debug production-grade Python code. Support and improve existing ML/AI systems (recommendations, predictions, fraud, classification). Collaborate with stakeholders to define objectives and evaluation metrics. Report to the Head of Data Engineering & Science. Qualifications 3+ years of experience in ML, AI, or applied data science roles (Machine Learning Engineer, Data Scientist, etc). Solid Python skills (SQL is a plus). Hands-on experience with LLMs and GenAI frameworks (e.g. OpenAI APIs, LangChain, LlamaIndex, Hugging Face). Experience building chatbots and RAG / information retrieval systems. Strong understanding of ML pipelines: data ingestion, feature engineering, training, deployment, monitoring. Experience deploying AI/ML models to production (APIs, retraining, experiment tracking). Familiarity with vector databases, embeddings, and search systems is a strong plus. Comfortable working with large, heterogeneous datasets. Ability to quickly understand new datasets and business problems. Team-oriented, proactive, and comfortable with ambiguity. Strong attention to detail and problem-solving mindset. Fluency in English (written and spoken). Motivation to stay up to date with fast-moving AI and LLM technologies. Additional Information Benefits you'll love Be a part of well established Swiss-based subsidiary in Belgrade We value work-life balance and employee happiness. That’s why we grant you hybrid work environment, and 25 vacation days per year, with the option to buy another 10 days in an unbureaucratic process. You get 5 fully paid sick days per year, and another 5 days for special occasions Lots of team activities and perks LinkedIn Learning Great equipment, competitive salary and a variety of fringe benefits like a gym membership and discounts at local stores International team and working environment of talented and fun people Stimulating work experience that will allow you to grow both professionally and personally Yearly budget for your personal development Apply now with your CV in English. Feel free to send us any additional documents you think we should read to understand that you are the perfect fit. About Us SMG Swiss Marketplace Group is a pioneering network of online marketplaces and a cutting-edge digital company that simplifies people’s lives with innovative products. SMG Swiss Marketplace Group provides customers with the best tools to meet their life decision needs. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, Immostreet.ch, alle-immobilien.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24, moneyland.ch). Disclaimer SMG Swiss Marketplace Group primarily engages with candidates directly. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.

Responsibilities

The role involves designing, building, and deploying AI solutions, with a strong emphasis on LLM-powered systems such as chatbots and information retrieval applications for leading Swiss real estate platforms. This includes integrating LLMs with internal data sources, building and monitoring Generative AI pipelines, and writing production-grade Python code.