data engineer in AI

We are looking for a Senior Data Engineer with AI expertise to join our driven team. You will work on an exciting project with our client from the insurance sector, focusing on bridging the gap between data science experimentation and enterprise-grade production systems. The role involves transforming AI models and experiments into scalable, reliable and well-governed solutions that integrate seamlessly into business workflows. You will collaborate closely with data scientists, actuaries and business stakeholders to ensure AI solutions are robust, observable and aligned with governance, reliability and cost-efficiency requirements.

• 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 the 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

• 3+ Years of experience in data engineering or AI engineering roles
• 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
• Experience integrating AI capabilities into enterprise systems and APIs
• Familiarity with monitoring, observability, and governance for AI systems
• Ability to work in large enterprise data ecosystems
• Strong problem-solving and communication skills
• Proficient communication skills in English (B2 level or higher)
• Будет плюсом: knowledge of AI governance and data quality, experience with Apache Spark, PySpark, and big data tools, familiarity with Natural Language Processing and LLMs, understanding of retrieval-augmented generation techniques, exposure to (Re)Insurance IT or Palantir platform

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