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SMG Swiss Marketplace Group

Operates online marketplaces across Europe

AI Engineer - Python

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBelgrade, SerbiaNo salary listed

About the Job

Requirements

  • At least 5 years of software engineering experience with a machine learning or artificial intelligence background.
  • Strong Python skills and a track record of writing clean, performant, testable, and maintainable code.
  • Proven experience deploying and operating machine learning, artificial intelligence, or large language model-based systems in production.
  • Hands-on experience with large language models, generative artificial intelligence APIs, and frameworks such as OpenAI APIs, LangChain, LlamaIndex, or Hugging Face.
  • Experience building retrieval-augmented generation, chatbot, information retrieval, or AI assistant systems with end-to-end technical ownership.
  • Strong understanding of machine learning operations or large language model operations practices, including model deployment, evaluation, monitoring, retraining, versioning, and experiment tracking.
  • Experience with cloud infrastructure, especially AWS or GCP.
  • Experience building APIs, services, pipelines, and production integrations around machine learning or artificial intelligence systems.
  • Comfort working with continuous integration and continuous delivery, containerization, infrastructure as code, observability, and production incident handling.
  • Comfort working with large, heterogeneous datasets.
  • Ability to quickly understand new datasets and business problems.
  • Fluency in English, written and spoken.
  • Strong attention to detail and problem-solving skills.

Responsibilities

  • Design, build, and productionize scalable software solutions, focusing on large language model-powered applications such as chatbots, retrieval-augmented generation systems, summarization, classification, and evaluation pipelines.
  • Own generative AI solutions end to end, from prototyping and architecture design to deployment, monitoring, scaling, and continuous improvement.
  • Integrate large language models with internal data sources using retrieval techniques, embeddings, vector search, and search infrastructure.
  • Build reliable and maintainable machine learning and generative AI pipelines, including data ingestion, model orchestration, evaluation, deployment, observability, and alerting.
  • Apply large language model operations and machine learning operations best practices for scalability, reliability, cost efficiency, explainability, and governance.
  • Deploy and operate artificial intelligence and machine learning systems in cloud environments such as AWS and GCP.
  • Build production-grade APIs, services, and integrations that expose machine learning and large language model capabilities to internal and customer-facing products.
  • Write, review, test, and debug high-quality Python code.
  • Own and improve existing machine learning and artificial intelligence systems, including recommendation, prediction, fraud, and classification systems.
  • Collaborate with product, engineering, and business stakeholders to define objectives, success metrics, and production requirements.

Desired Qualifications

  • Familiarity with vector databases, embeddings, and search systems.

About the Company

SMG Swiss Marketplace Group

Operates online marketplaces across Europe

SMG Swiss Marketplace Group runs a network of online marketplaces in Europe, with a focus on Switzerland, to connect buyers and sellers and provide a convenient digital hub for various services and products. Its product is a collection of marketplace platforms where users can discover, compare, and transact across categories; revenue comes from advertising, subscription fees, and transaction commissions, making the platforms profitable while keeping access easy for both individuals and businesses. The company differentiates itself by managing a diverse set of marketplaces under one group, offering a seamless user experience through a centralized digital hub, and monetizing through multiple streams rather than relying on a single source. The goal is to simplify users’ lives, meet a wide range of needs efficiently, and maintain leadership in the European digital marketplace landscape.

Company size
501-1,000
Company stage
IPO
Headquarters
Kloten, Switzerland
Founded
2021

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