7 дней назад
AI Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Python) (LLM/GenAI): Designing and deploying production-ready AI solutions for Swiss real estate marketplaces with an accent on LLM-powered applications, RAG systems, and scalable ML platforms. Focus on building retrieval and evaluation pipelines, operating cloud-based AI services, and integrating reliable APIs into customer-facing products.
Location: Hybrid work from the SMG office in Belgrade, Serbia
Company
operates digital marketplaces across real estate, automotive, general marketplaces, and finance and insurance.
What you will do
- Design, build, deploy, and operate scalable LLM-powered applications, including chatbots, RAG systems, summarization, classification, and evaluation pipelines.
- Own generative AI solutions from prototyping and architecture through deployment, monitoring, scaling, and continuous improvement.
- Integrate large language models with internal data sources using embeddings, retrieval techniques, vector search, and search infrastructure.
- Build reliable ML and GenAI pipelines covering data ingestion, model orchestration, evaluation, deployment, observability, and alerting.
- Deploy AI and ML systems on AWS and GCP and develop production-grade APIs, services, and integrations.
- Collaborate with data scientists, engineers, product stakeholders, and business teams to define objectives, metrics, and production requirements.
Requirements
- 5+ years of software engineering experience with an ML or AI background.
- Strong Python skills and experience writing clean, performant, testable, and maintainable code.
- Production experience with ML, AI, or LLM-based systems and end-to-end ownership of RAG, chatbot, information retrieval, or AI assistant solutions.
- Experience with LLMs, GenAI APIs, MLOps or LLMOps, cloud infrastructure, APIs, pipelines, CI/CD, containerization, infrastructure as code, and observability.
- Familiarity with vector databases, embeddings, search systems, large heterogeneous datasets, and production incident handling.
- Fluent English, written and spoken, is required.
Culture & Benefits
- Hybrid work environment with a collaborative, cross-functional, and international team.
- 25 vacation days per year and private health insurance.
- Free LinkedIn Learning and an annual personal development budget.
- Profit Growth Scheme, team activities, gym membership, local store discounts, and other fringe benefits.
- Office space with parking and professional equipment.
Hiring process
- Apply with a CV in English.
- Additional documents may be submitted to support the application.
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