Senior AI Engineer Generative AI

Job Description

Job Title: Senior AI Engineer Generative AI (Product Development) Location: Hyderabad (Remote) Duration: 6 Months (Possible Extension) Experience Required: Minimum 12 Years Role Overview We are seeking a highly experienced Senior AI Engineer with deep expertise in Generative AI and a strong foundation in building and deploying agentic frameworks . The ideal candidate should have extensive experience in cloud infrastructure, specifically with AWS and GCP , and proven skills in full-cycle product development. The role requires a track record of working in startup environments , where the ability to adapt and drive innovative solutions is key. Key Responsibilities Design, develop, and deploy Generative AI -based applications, focusing on building and optimizing agentic frameworks for enterprise-grade products. Build and optimize LLM pipelines and integrate them with various data sources and APIs to enable scalable AI solutions. Implement robust CI/CD pipelines and software engineering best practices to ensure the reliability and scalability of AI models in production environments. Collaborate with cross-functional teams including product managers , designers , data engineers , and DevOps to bring concepts to life in a dynamic, startup-driven culture. Integrate AI services with AWS and GCP cloud platforms, ensuring scalability, security, and performance for high-volume AI workloads. Work on API integrations and ensure seamless communication between AI services and other product components. Ensure the reliability , security , and performance of AI systems through monitoring, load balancing, and containerization. Lead efforts in building and deploying AI-based agentic solutions , aimed at solving complex real-world problems. Stay updated on the latest AI trends and deep learning frameworks to continuously enhance product capabilities. Required Technical Skills Strong software engineering foundation , with deep expertise in CI/CD , unit testing , integration testing , and design patterns . Proficiency in Python , especially for building and deploying AI models, and integrating with APIs and cloud services. Extensive experience in building and deploying agentic frameworks that utilize LLMs and transformers . Strong experience working with AWS and GCP , specifically in deploying and scaling AI-driven applications . Familiarity with Git and modern version control workflows. Experience working with load balancing , high-availability systems , and techniques for managing large-scale AI workloads in the cloud. Nice-to-Have Skills Experience developing and consuming REST APIs for AI services and data integration. Familiarity with Docker for containerization, local development, and testing. Strong understanding of cloud-based data storage solutions such as AWS S3 , GCP Cloud Storage , and data lakes. Experience with Cloud AI Services such as AWS SageMaker , GCP AI Platform , and TensorFlow for scalable model deployment. Exposure to data warehousing solutions like Google BigQuery or AWS Redshift for integrating AI outputs with data systems. Experience with AI model monitoring , performance tuning , and continuous improvement of deployed models. Strong security knowledge related to cloud infrastructure, specifically for handling sensitive data in AI applications. Role & responsibilities Preferred candidate profile