Senior Generative AI & Data Engineer

Job Description

We are looking for an experienced Senior Generative AI & Data Engineer to design, develop, and deploy enterprise-scale AI and data platforms. The role focuses on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, and cloud-based data engineering solutions.

The successful candidate will lead AI solution architecture, enterprise data platform development, and production deployment of AI-driven applications.

Key Responsibilities

AI & Generative AI Development

• Design and deploy LLM and Generative AI solutions using Azure OpenAI, Google Vertex AI, and AWS Bedrock.
• Develop Agentic AI systems with multi-agent orchestration.
• Implement RAG pipelines using vector databases and LangChain frameworks.
• Build scalable enterprise AI applications.

Multi-Agent Architecture

• Develop agent orchestration frameworks supporting: Model Context Protocol (MCP)Agent-to-Agent (A2A) communicationAI workflow automation
• Implement enterprise AI governance and monitoring.

Data Engineering & Platform Development

• Design enterprise data lake and lakehouse architectures.
• Develop ETL/ELT pipelines using Spark and PySpark.
• Implement real-time and batch data processing solutions.

MLOps & Deployment

• Build CI/CD pipelines for AI models.
• Deploy containerized solutions using Kubernetes and Docker.
• Monitor model performance and lifecycle management.