Senior AI Developer with LLM Orchestration, Intelligent Knowledge Platform
- Ałmaty
- Astana
- Belgrad
- Charków
- Dnipro
- Erywań
- Kijów
- Kluż-Napoka
- Kraków
- Larnaka
- Łódź
- Lublin
- Lwów
- Odesa
- Remote.Bulgaria
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Ryga
- Sofia
- Tbilisi
- Warna
- Warszawa
- Wrocław
Jeśli otrzymałeś tę ofertę pracy od naszych rekruterów, zapoznaj się z naszą Polityką prywatności.
Project overview
Team
Position overview
Technology stack
Responsibilities
- Develop and maintain end to end LLM orchestration and retrieval pipelines
- Design and implement embedding generation and chunking strategies with effective context window management
- Optimize retrieval quality through tuning techniques and evaluation driven improvements
- Build entity extraction pipelines that transform unstructured content into graph structures using entity resolution and relationship normalization
- Implement semantic search solutions and prompt engineering patterns
- Develop agentic workflows to support complex reasoning tasks
- Integrate graph databases with LLM based platforms and services
- Create and maintain evaluation frameworks including ground truth datasets and regression testing processes
- Measure and improve system performance using metrics such as recall, precision at K, answer relevance, and faithfulness
- Improve observability, tracing, and cost efficiency across LLM pipelines
- Collaborate with team members to design scalable and reliable systems
Requirements
- Experience developing applications with large language models and retrieval augmented generation
- Strong proficiency in Python and backend development practices
- Hands on experience with vector databases and semantic search implementations
- Understanding of embedding techniques, chunking strategies, and context management
- Experience building or maintaining data pipelines for unstructured content processing
- Familiarity with graph data modeling and knowledge graph concepts
- Experience implementing evaluation methodologies for AI systems including precision and recall metrics
- Experience working with cloud platforms and containerized environments such as Docker and Kubernetes
- Ability to design scalable and maintainable system architectures
- Strong collaboration and communication skills
Nice to have
- Experience with Google Cloud services including Spanner Graph
- Familiarity with Gemini Enterprise Agent Platform or similar tools
- Experience with LangChain, LlamaIndex, or similar frameworks
- Knowledge of entity resolution and graph based reasoning techniques
- Experience with observability tools for ML or AI systems
- Understanding of cost optimization strategies for LLM usage
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Zgodnie z oficjalnym kalendarzem, niezależnie od kalendarza klienta
Komfortowe warunki pracy
Elastyczny czas pracy oraz pomoc w wyposażeniu komfortowego miejsca pracy
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Dostęp do profesjonalnych kursów i szkoleń
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