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.