Ai Engineer for Industrial Digital Twin & Generative Ai Platform Development

We’re building an Industrial Digital Twin & Generative AI platform that connects real-world operations with intelligent conversational systems.
We’re looking for an experienced AI Engineer to design and deploy rag/cag-driven ai architectures and aws-based chatbots that enhance decision-making and automation in industrial environments.
You’ll collaborate with our core team to architect scalable, secure, and adaptive LLM workflows using LangChain, LlamaIndex, and AWS SageMaker/Bedrock. This role involves both innovation and implementation — perfect for someone who wants to push Generative AI beyond prototypes.

Deliverables :
• Develop and maintain rag pipelines using vector databases and document retrieval frameworks to enable data-grounded llm responses.
• Implement CAG frameworks that enhance contextual reasoning and ensure domain-accurate response generation.
• Deploy and optimize conversational ai systems (internal & customer-facing chatbots) on aws — leveraging sagemaker, ecs, lambda, bedrock, and api gateway.
• Integrate AI services seamlessly with existing backend systems and APIs for real-world interoperability.
• Ensure scalability, observability, and cost efficiency across deployed AI workloads through best practices in MLOps and monitoring.
• Collaborate with data and product teams to define model evaluation metrics, continuous improvement loops, and system feedback pipelines.