Senior AI Engineer, LLMs, Knowledge Graphs

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Execute orchestration, retrieval pipelines, and validator agents utilizing graph-aware tools.

• Construct hybrid search pipelines (lexical + vector) and incorporate vector databases such as FAISS, Milvus, or Pinecone.

• Integrate LLMs (Azure OpenAI, Anthropic) while providing support for domain-specific fine-tuning or adapter models.

• Develop robust API endpoints and ETL pipelines to facilitate model and agent runtimes.

• Create evaluation suites to ensure reliability, detect drift, and optimize performance.

⛳️ Requirements

• 3-6+ years of substantial Python engineering experience.

• A solid foundation in machine learning and deep learning principles, with the capability to design experiments, assess model robustness, and reduce bias.

• Expertise in Graph Theory, Knowledge Graph modeling, and GNNs.

• Practical experience with RAG, Agentic frameworks, and Prompt Engineering.

• Proficiency in constructing data pipelines, implementing chunking strategies, and managing large datasets.

• Familiarity with AWS/Azure/GCP and CI/CD workflows.

• Strong Git discipline, unit testing capabilities, and experience in agile pod environments.

• Exceptional problem-solving abilities and a sharp attention to detail.

• Capacity to engage in discussions and lead technical conversations.

• Possess a consultancy mindset—always strive to find solutions for clients.

• Make informed decisions regarding solutions and design.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuing education.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.

• Comprehensive health and wellness benefits.