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Senior AI Engineer

burai · Zagreb

Novo
Senior 🇬🇧 English
Python FastAPI SQL PostgreSQL MongoDB Neo4j LangChain Hugging Face PyTorch TensorFlow Pinecone Qdrant Weaviate Milvus Docker Kubernetes Azure AWS GCP CI/CD

Opis radnog mjesta

About the role

Burai is an AI‑driven productivity platform that integrates intelligent agents into Office365 and Google Workspace to automate workflows. As a Senior AI Engineer you will design and build scalable AI systems that power multi‑tenant SaaS services.

Key responsibilities

  • Design and architect scalable AI systems, including data pipelines and inference endpoints for a multi‑tenant SaaS environment.
  • Build advanced AI agents using Retrieval‑Augmented Generation (RAG) and agentic frameworks to automate dynamic workflows.
  • Integrate and optimise large language models (LLMs) with sophisticated prompting and evaluation strategies.
  • Develop machine‑learning pipelines covering feature engineering, model training and continuous improvement.
  • Create robust vector‑based retrieval systems and scalable APIs with FastAPI.
  • Deploy, monitor and manage AI services on Azure, ensuring reliability, security and scalability.
  • Integrate Google ADK for speech, vision and data insights, and orchestrate high‑performing agents in a SaaS multi‑tenant setting.
  • Prototype cutting‑edge generative AI technologies and mentor engineering teams on best practices.

Required profile

  • Bachelor’s degree or higher in Computer Science, Engineering or a related field.
  • 5+ years of backend and AI engineering experience, with at least 3 years building LLM‑based applications at scale.
  • Strong system design and architecture capabilities for complex, scalable solutions.
  • Excellent communication, leadership and problem‑solving abilities.

Required skills

  • Python programming and software engineering best practices.
  • FastAPI and RESTful API development.
  • SQL (transactional and analytical) and experience with PostgreSQL, MongoDB, Neo4j.
  • LLM frameworks: LangChain, Hugging Face, PyTorch, TensorFlow.
  • Vector databases: Pinecone, Qdrant, Weaviate, Milvus.
  • Containerisation and orchestration: Docker, Kubernetes.
  • Cloud platforms: Azure (required), with experience in AWS or GCP a plus.
  • CI/CD pipeline implementation.

What we offer

  • Competitive salary and equity options.
  • Autonomy to shape AI strategy and innovate.
  • Career growth through mentorship and learning budgets.
  • Local perks such as paid lunches, MultiSportcard and top‑tier Apple or Microsoft equipment.

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burai

Zagreb