Gen AI Engineer Lead

Key Responsibilities:

Do you enjoy building the data backbone that powers intelligent applications?
As a Data Engineer on our AI team, you’ll architect and maintain scalable, secure, and efficient data pipelines that feed LLM models, RAG systems, and next-generation enterprise AI solutions. You’ll work at the heart of our AI infrastructure - designing data flows, integrating structured and unstructured sources, and enabling powerful downstream analytics and machine learning. Build, optimize, and maintain robust data pipelines to support AI model training, fine-tuning, and inference workflows. Collaborate with AI engineers and data scientists to support document processing, retrieval-augmented generation (RAG), and LLM-powered applications. Implement PostgreSQL and vector database integrations for real-time semantic search and embedding storage. Ensure high performance, availability, and quality of data workflows, with adherence to security and compliance standards. Support the deployment and operations of data solutions across cloud platforms.
Required Skills and Experience:
- Proven experience in leading AI engineering initiatives.
- Strong expertise in Cloud & Virtualization as well as multiple Programming Languages to implement AI solutions.
- Demonstrated ability to innovate and solve complex technical problems.
- Excellent communication and leadership skills to effectively manage teams and liaise with clients.
- Familiarity with project-based work environments and adhering to timelines.
Critical Skills: Python, PostgreSQL, RAG, Document Processing, Data Engineering Tools, Azure or AWS Cloud Services, Prompt Engineering, Docker, Workflow and Orchestration Skills

Nice to Have: ML and LLM Knowledge, Vector Databases, Monitoring & Logging Tools, General AI/ML, AI Agents, CI/CD for ML, LangChain, RAG, Security and Privacy Handling, Data Annotation & Labeling Tools