Data Engineer (Mid-level)

Description

Job Summary: Lead the technical execution of GenAI projects and PoCs, ensuring performance and quality, designing robust architectures, and developing advanced workflows. Key Highlights: 1. Lead GenAI projects with a focus on performance and quality 2. Design robust and scalable architectures 3. Develop advanced workflows using RAG and embeddings Description: Preferred Qualifications: * Prior experience with production GenAI projects. * Knowledge of classical data engineering (ETL/ELT, data modeling, orchestration). * Familiarity with distributed architectures and performance optimization. * Cloud certifications (Azure, AWS, or GCP). Academic Background: * Bachelor's degree in Computer Science, Engineering, Information Systems, Systems Analysis and Development, or related fields. * Lead the technical execution of GenAI projects and PoCs, ensuring performance, delivery quality, and proper documentation. * Design pipelines and architectures that are robust and scalable. * Develop advanced workflows using RAG, embeddings, and database integrations. * Conduct prompt testing, model fine\-tuning, and evaluation of generative AI frameworks and approaches. * Support and guide junior professionals in technical deliveries. * Ensure code quality, standardization, and comprehensive documentation for handover. Requirements and Qualifications: * Proficiency in Python and generative AI libraries. * Proven experience with LangChain, LlamaIndex, or equivalent tools. * Experience with relational and non-relational databases. * Experience in cloud environments (AWS preferred). * Ability to deliver rapidly with clear and organized documentation. 2512100202181912063