Artificial Intelligence Engineer

Role: AI Engineer Experience: 6-12 Years Location: PAN India Role Title AIML Agentic AI Key Responsibilities Agentic AI Generative AI Development Design and implement Agentic AI architectures including singleagent and multiagent systems Build LLMpowered workflows enabling reasoning planning tool invocation and task execution Develop AI agents using Pythonbased frameworks for orchestration memory and context management Implement RetrievalAugmented Generation RAG pipelines using structured and unstructured data sources Integrate large language models LLMs from cloud AI platforms into enterprise applications Engineering Integration Develop RESTful APIs and backend services to expose AI agent capabilities Integrate agents with enterprise tools APIs databases and automation workflows Collaborate with product and engineering teams to translate business problems into AIdriven solutions Ensure AI solutions follow securebydesign and responsible AI practices Data Pipelines MLOps Build and maintain data pipelines supporting training inference and RAG workflows Implement MLOps pipelines for model versioning deployment monitoring and retraining Apply observability logging and performance monitoring for AI systems in production Optimise model performance for cost latency reliability and scalability Cloud Deployment Deploy AI workloads on cloud platforms AWS Azure GCP using scalable architectures Work with containerisation and orchestration tools to support production AI deployments Ensure high availability fault tolerance and compliance in cloud environments Required Skill Primary Skills Agentic AI autonomous agents reasoning workflows toolcalling patterns Python development for AIML applications Generative AI and Large Language Models LLMs Secondary Skills Cloud Platforms AWS Azure or GCP Data Pipelines and Data Engineering concepts MLOps model deployment monitoring CICD for ML Mandatory Skills : GenAI - LLMOps, Python