Backend & AI Engineer (Search Agent)
4 dni temu
Are you an experienced Backend & AI Engineer looking for a new challenge? We're seeking a skilled professional to join our team at Rutkowski as a Backend & AI Engineer (Search Agent). As a key member of our engineering team, you will be responsible for designing and implementing advanced search systems utilizing AI at their core.
About the JobThe ideal candidate will have deep expertise in search systems, data pipelines, and AI agent orchestration. You will work closely with our frontend and product teams to align backend capabilities with end-user requirements.
Responsibilities include:
- Design & Implement Search Systems: Research, design, implement, and maintain search systems and products utilizing AI at their core.
- Develop & Integrate AI Agents: Develop and integrate AI agent frameworks capable of orchestrating multiple agents for tasks like data retrieval, data enrichment, and automated decision-making.
- Engineer Backend Systems: Build and maintain backend systems handling large-scale scraping, search indexing, and querying pipelines.
- Collaborate with Teams: Work closely with frontend and product teams to ensure seamless integration of backend capabilities.
- Backend Engineering (4 years): Proven experience in designing, building, and scaling highly data-intensive products and web scraping pipelines.
- Search & Vector Databases: Expertise in keyword-based search systems like Lucene/Elasticsearch.
- AI & NLP: Strong understanding of NLP models, embeddings, and large language models (LLMs).
- Data Pipelines & Databases: Proficiency in building scalable data pipelines for ingesting, transforming, and indexing structured/unstructured data.
- Cloud & Distributed Systems: Familiarity with AWS, GCP, or Azure for deploying large-scale backend infrastructure.
Opportunity to pioneer next-generation AI agent orchestration and RAG-based systems. Dynamic environment for pushing boundaries in NLP, search, and distributed systems. Collaboration with a talented team across data science, product, and platform engineering.
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