Senior AI Developer with LLM Orchestration, Intelligent Knowledge Platform
- Remote.Bulgaria
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Алмати
- Астана
- Белград
- Варна
- Варшава
- Вроцлав
- Дніпро
- Єреван
- Київ
- Клуж-Напока
- Краків
- Ларнака
- Лодзь
- Львів
- Люблін
- Одеса
- Рига
- Софія
- Тбілісі
- Харків
Якщо ви отримали цю вакансію від наших рекрутерів, ознайомтеся з нашою Політикою про конфіденційність.
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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Оплата лікарняних
10 днів без довідок від лікарів, далі — за законом вашої країни
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За офіційним календарем незалежно від клієнта
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Служба комфорту
Розв’язання технічних і побутових проблем на роботі
