AI Data Engineer

Aditi Consulting is recruiting for a confidential client for an AI Data Engineer. The role focuses on building and operating synthetic data-generation systems, scalable data pipelines, data models, validation frameworks, and dependable cloud systems, with work related to LLMs and Copilot in the M365 Enterprise environment.

Responsibilities:

• Design, build, and evolve synthetic data-generation systems, assessing existing approaches and technical trade-offs while developing scalable, maintainable workflows
• Build and operate scalable pipelines and orchestration, applying concurrency, asynchronous execution, and resilient failure handling where appropriate
• Design and evolve data models, storage approaches, and retrieval patterns to support large data volumes and efficient access
• Develop and evolve validation frameworks and systems that define quality criteria and automate checks
• Apply cloud engineering practices to build, deploy, monitor, and support dependable systems, balancing scalability, operational simplicity, and cost
• Evaluate technical trade-offs, communicate progress and risks, and collaborate on practical solutions

Requirements:

• 5 years of software or data engineering experience, or equivalent significant experience building systems with coding in languages & frameworks including, but not limited to, Python, Spring Boot, .NET
• Strong backend programming and systems engineering skills
• Deep experience designing, building, and operating data generation, ETL, and distributed data-processing workflows
• Strong working understanding of LLMs, including their capabilities, limitations, and common failure modes
• Working knowledge of orchestration, concurrency, asynchronous execution, and streaming or event-driven architectures
• Strong knowledge of large-scale data storage, modeling, and retrieval
• Practical cloud engineering experience and the ability to work independently in an existing codebase
• Experience with Python
• Experience integrating LLMs through AI platforms, frameworks, and APIs
• Experience designing and running evaluations of LLM output
• Experience with distributed processing, streaming or event-driven systems, and workflow orchestration tools
• Experience with observability, performance tuning, and deployment automation
• Familiarity with relational or NoSQL databases, cloud object storage, and data lake architectures
• Strong technical communication, documentation, collaboration, adaptability, and problem-solving skills