<p>Senior ML/AI Engineer</p> <p>Senior ML/AI Engineer< This role is critical for designing, developing, and optimizing the core AI and RAG components of the system.< ? Gen AI: Deep understanding of generative AI models, LLMs, and their application in conversational interfaces. Experience with fine-tuning or adapting models for specific tasks.< ? LangGraph: Expertise in building agentic systems and state machines using LangGraph. Understanding of agent orchestration, managing conversational flow, and integrating various tools/models. ?    Python: Strong proficiency in Python, including experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).< ? RAG Implementation: Experience in designing and implementing Retrieval Augmented Generation systems, including vector databases, embedding techniques, and efficient retrieval strategies.< ? Cloud Platform (Google Cloud): Experience deploying and managing AI/ML workloads on Google Cloud Platform (GCP) has added advantage. Familiarity with relevant services like Vertex AI, Cloud Functions, Cloud Run, or GKE for model deployment.< ? Async Programming: Have understanding or ability to write efficient asynchronous code for handling potentially long-running AI model calls and external API interactions. ?    REST: Understanding of RESTful principles for integrating AI services with other parts of the system. Logging: Experience with implementing robust logging for monitoring AI model performance, identifying issues, and tracking usage. Familiarity with tools like Splunk is a plus.New York5 - 8 Years10H16-Mar-2026YACTIVE116452-4-1</p>