Cherry Bekaert - AI Agent & Automation Engineer in Chennai, भारत

Summary : The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI https://jobeax.com/link/aziEBISJRXLSYg6w an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational https://jobeax.com/link/Cv5Gf2L1xrFr0UJv role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced https://jobeax.com/link/M499a9dVAdQxJmUe and Responsibilities : - Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks.- Develop agent architectures that support autonomy, interactivity, and task completion.- Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools).- Collaborate with researchers, engineers, and product teams to iterate on agent capabilities.- Optimize agent behavior through feedback loops, reinforcement learning, or user interaction.- Engineer and manage context for agents to ensure they access the right information at the right time.- Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms.`- Maintain thorough documentation of agent logic, design decisions, and dependencies.- Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel https://jobeax.com/link/wS3KJVH4Gb7mnSgN Stack & Methods : - Prompt Engineering, Fine-tuning, Retrieval-Augmented Generation (RAG), Tool Use, Hybrid Approaches.- Python, LangChain, OpenAI API, Hugging Face, PyTorch.- API development, backend services, and deployment https://jobeax.com/link/zYynTLxT5dO92sG6 : - Bachelor's degree in computer science, AI, Machine Learning, or a related field.- 5+ years of overall experience, with 3-5 years in agent-based systems or intelligent automation.- Strong programming skills in Python and experience with AI/ML libraries.- Understanding of agent-based modeling, multi-agent systems, or reinforcement learning.- Experience in building RAG based models and LLM applications.- Excellent communication and interpersonal skills.- Understanding of AI governance, building observable and auditable models. (ref:hirist.tech)