Walk-in || Generative AI Engineer

Role & responsibilities

• Application Development: Design and build GenAI-driven features, chatbots, and automation workflows.
• Prompt Engineering & Optimization: Implement and refine prompt strategies, caching, and batching to lower latency and control output costs.
• RAG Implementation: Set up retrieval-augmented generation pipelines to connect external data sources securely with LLMs.
• Cloud Deployment: Integrate models into cloud platforms (AWS, GCP, Azure) using container tools like Docker and Kubernetes.
• Model Monitoring: Track system performance, safety compliance, and data privacy standards.