As an AI Engineer, you will develop and implement AI-powered solutions and GenAI applications. You will work hands-on with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and cloud-native AI tools to deliver intelligent, scalable, and secure enterprise solutions.
Requirements
- Develop and implement AI and GenAI-based microservices and APIs
- Develop and integrate LLM-based solutions for real-world enterprise use cases
- Build and maintain RAG pipelines involving embedding generation, document chunking, and vector search
- Implement prompt engineering, fine-tuning, and model evaluation techniques
- Deploy AI models and services using cloud AI platforms
- Work with data pipelines to preprocess, clean, and structure data for model ingestion
- Develop API interfaces for integrating AI services into existing enterprise platforms and applications
- Ensure strong adherence to DevOps/MLOps practices
- Collaborate with architecture and DevOps teams for containerized deployments
- Implement logging, monitoring, and performance tracking for deployed AI models and APIs
- Continuously explore emerging AI frameworks, open-source models, and new deployment patterns
Benefits
- Competitive salary
- Continuous learning opportunities
- Success defined by you
- Transformative leadership
- Diverse and inclusive culture