Senior Data Engineer, AI

Responsibilities

• Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic
• Develop and maintain prompt engineering strategies, including versioning, testing and optimization
• Implement orchestration layers for multi-step reasoning, decisioning and action execution
• Integrate AI capabilities into enterprise systems, APIs and user interfaces
• Apply guardrails to ensure safe, explainable and compliant AI behavior
• Build and maintain production-grade AI deployment pipelines
• Ensure reliability, scalability, latency optimization and cost efficiency of AI services
• Implement monitoring and observability for AI systems, including usage, performance and drift
• Establish change control, versioning, rollback and release management practices
• Collaborate with data scientists and business experts to validate model behavior and outputs

Languages

Required

• Strong knowledge of MLOps practices and tools
• Proficiency in Machine Learning concepts and model lifecycle management
• Advanced programming skills in Python
• Hands-on experience with Gen AI solutions development and prompt engineering
• Solid understanding of SQL and data manipulation techniques
• Familiarity with monitoring, observability and governance for AI systems

Nice to have

• Strong problem-solving and communication skills
• Proficient communication skills in English (B2 level or higher)
• Experience with Apache Spark, PySpark and big data tools

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