AI Engineer (Python)

Location: Hybrid at the SMG office, Milutina Milankovića 1i, Belgrade, Serbia

Company

hirify.global operates digital marketplaces across real estate, automotive, general marketplaces, and finance and insurance, including homegate.ch and ImmoScout24.ch.

What you will do

• Design, build, deploy, monitor, scale, and continuously improve LLM-powered applications, including chatbots, RAG systems, summarization, classification, and evaluation pipelines.
• Integrate LLMs with internal data using retrieval techniques, embeddings, vector search, and search infrastructure.
• Build reliable ML and GenAI pipelines covering data ingestion, model orchestration, evaluation, deployment, observability, alerting, and governance.
• Deploy and operate AI and ML systems in AWS and/or GCP cloud environments.
• Build production-grade APIs, services, and integrations exposing ML and LLM capabilities to internal and customer-facing products.
• Collaborate with product, engineering, data science, and business stakeholders to define objectives, success metrics, and production requirements; own and improve existing recommendation, prediction, fraud, and classification systems.

Requirements

• 5+ years of experience in software engineering with an ML/AI background.
• Strong Python skills and experience writing clean, performant, testable, and maintainable code.
• Proven experience deploying and operating ML, AI, or LLM-based systems in production.
• Hands-on experience with LLMs, GenAI APIs, and frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar.
• Experience building and owning RAG, chatbot, information retrieval, or AI assistant systems end to end.
• Strong understanding of MLOps and/or LLMOps, including model deployment, evaluation, monitoring, retraining, versioning, and experiment tracking.
• Experience with AWS and/or GCP cloud infrastructure, APIs, services, pipelines, and production integrations around ML and AI systems.
• Comfort working with CI/CD, containerization, infrastructure-as-code, observability, production incident handling, and large heterogeneous datasets.
• Ability to quickly understand new datasets and business problems; team-oriented, proactive, comfortable with ambiguity, detail-oriented, and strong in problem-solving.
• Fluency in written and spoken English.

Nice to have

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

Culture & Benefits

• Hybrid work environment with a focus on work-life balance and employee happiness.
• 25 vacation days per year and private health insurance.
• Team activities, an international working environment, and a collaborative culture.
• Free LinkedIn Learning and an annual personal development budget.
• Profit Growth Scheme, company phone, equipment, gym membership, local store discounts, and office parking.

Hiring process

• Submit a CV in English; additional documents may be included.