Senior AI Engineer (Agentic AI | GCP | Elasticsearch)

Hiring: Senior AI Engineer (Agentic AI | GCP | Elasticsearch) Location: Hyderabad (Work from Office) Experience: 68 Years CTC: 1520 LPA (Based on Experience) Job Overview We are looking for a highly skilled Senior AI Engineer with strong expertise in Agentic AI, Google Cloud Platform (GCP), Elasticsearch, and Python to build intelligent, scalable AI solutions. The ideal candidate will have hands-on experience designing autonomous AI systems, developing production-grade data pipelines, and deploying AI applications in cloud environments. Key Responsibilities Design and develop Agentic AI systems capable of autonomous decision-making and task execution. Build, deploy, and manage AI solutions on Google Cloud Platform (GCP). Develop and optimize applications using Vertex AI and other GCP AI/ML services. Configure, manage, and optimize Elasticsearch for search, analytics, and observability. Implement techniques to ground Large Language Models (LLMs) using Elasticsearch for accurate and context-aware responses. Build scalable data pipelines, ETL workflows, and process large datasets efficiently. Design secure, scalable, and fault-tolerant AI system architectures. Develop high-quality applications using Python (Java knowledge is an added advantage). Implement monitoring, logging, and observability solutions following MLOps best practices. Troubleshoot production issues and optimize AI system performance from an end-to-end perspective. Collaborate with cross-functional teams to deliver production-ready AI solutions. Required Skills 68 years of software development and AI engineering experience. Strong expertise in Agentic AI and autonomous AI systems. Hands-on experience with Google Cloud Platform (GCP). Experience with Vertex AI, Cloud Storage, Compute Engine, Cloud Run, BigQuery, Cloud SQL, and networking services. Strong knowledge of Elasticsearch administration, indexing, querying, and performance optimization. Experience integrating LLMs with Elasticsearch for Retrieval-Augmented Generation (RAG) and grounding. Excellent programming skills in Python. Good understanding of Java (preferred). Experience in Data Engineering, ETL pipelines, and large-scale data processing. Strong understanding of distributed systems, system design, scalability, and security. Knowledge of observability tools, monitoring, logging, and MLOps. Excellent analytical and problem-solving skills. Preferred Qualifications Experience with Generative AI and LLM frameworks. Experience with RAG architectures and vector search. Exposure to Docker, Kubernetes, and CI/CD pipelines. Experience working in production AI environments. If you're passionate about building next-generation AI systems and working on cutting-edge Agentic AI solutions, we'd love to hear from you. Hiring: Senior AI Engineer (Agentic AI | GCP | Elasticsearch) Location: Hyderabad (Work from Office) Experience: 68 Years CTC: 1520 LPA (Based on Experience) Job Overview We are looking for a highly skilled Senior AI Engineer with strong expertise in Agentic AI, Google Cloud Platform (GCP), Elasticsearch, and Python to build intelligent, scalable AI solutions. The ideal candidate will have hands-on experience designing autonomous AI systems, developing production-grade data pipelines, and deploying AI applications in cloud environments. Key Responsibilities Design and develop Agentic AI systems capable of autonomous decision-making and task execution. Build, deploy, and manage AI solutions on Google Cloud Platform (GCP). Develop and optimize applications using Vertex AI and other GCP AI/ML services. Configure, manage, and optimize Elasticsearch for search, analytics, and observability. Implement techniques to ground Large Language Models (LLMs) using Elasticsearch for accurate and context-aware responses. Build scalable data pipelines, ETL workflows, and process large datasets efficiently. Design secure, scalable, and fault-tolerant AI system architectures. Develop high-quality applications using Python (Java knowledge is an added advantage). Implement monitoring, logging, and observability solutions following MLOps best practices. Troubleshoot production issues and optimize AI system performance from an end-to-end perspective. Collaborate with cross-functional teams to deliver production-ready AI solutions. Required Skills 68 years of software development and AI engineering experience. Strong expertise in Agentic AI and autonomous AI systems. Hands-on experience with Google Cloud Platform (GCP). Experience with Vertex AI, Cloud Storage, Compute Engine, Cloud Run, BigQuery, Cloud SQL, and networking services. Strong knowledge of Elasticsearch administration, indexing, querying, and performance optimization. Experience integrating LLMs with Elasticsearch for Retrieval-Augmented Generation (RAG) and grounding. Excellent programming skills in Python. Good understanding of Java (preferred)