The Senior AI Engineer position involves designing and implementing scalable AI systems for enterprise applications, including Machine Learning, Computer Vision, Generative AI, and AI Agent platforms. Key duties encompass developing production-ready AI services with optimized performance and cost efficiency. The role requires building AI agents from single-purpose to multi-step, tool-using systems with appropriate autonomy and safeguards. Engineers will integrate ML and generative AI models through APIs and microservices, deploy AI workloads on cloud and on-premise GPU infrastructure, and provide technical mentorship to junior team members. The position requires a Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field with minimum 5 years producing and deploying AI/machine learning systems in production environments. Technical skills required include strong Python programming with PyTorch or TensorFlow experience, hands-on expertise with AI pipelines, model serving, MLOps workflows, and cloud platforms, knowledge of Generative AI, NLP, Computer Vision, APIs, and containerization, LLM orchestration frameworks (LangChain/LangGraph) and agentic system design, RAG pipeline development and vector database experience, model serving tools (vLLM or Ollama), GPU infrastructure and Linux proficiency, MongoDB, Redis, and FastAPI in production environments, and gRPC and message queues (Kafka, RabbitMQ, Redis Streams). Soft skills include analytical problem-solving capabilities and strong communication for team collaboration. Staying current with emerging frameworks and techniques is essential.