Role: Agentic AI Expert
Work Experience: 1.5+ years’ experience

Key Skills:
1+ years of experience in developing and experimenting with agentic AI systems (autonomous agents, multi-agent frameworks, decision-making pipelines).
Exposure to LLMs (Large Language Models), prompt engineering, AI guard rails and orchestration frameworks such as LangChain or AutoGen.
Practical experience with Python, SQL, Claude, and familiarity with AI/ML libraries (PySpark, Pandas).
Good knowledge of cloud platforms (Azure) and containerization tools.
Hands-on exposure to platforms such as Microsoft Power Automate, Excel Macros is a plus.
Ability to design, implement and deploy automation workflows combining AI agents with RPA bots.

Key Responsibilities:
Assist in research and prototyping of agentic AI systems capable of autonomous reasoning and execution.
Support the design and implementation of multi-agent architectures for workflow automation.
Contribute to integrating LLMs with RPA bots and APIs, including Power Automate flows, for task automation.




Develop and test AI-RPA hybrid solutions under guidance, ensuring scalability and compliance.
Collaborate with senior team members to identify automation opportunities and deliver AI-driven solutions.
Participate in monitoring and optimizing agent performance across the product lifecycle.
Business & Technical Skills:
Basic knowledge of AI ethics and safety principles for responsible deployment.
Understanding of business process automation and ability to translate requirements into workflows.
Exposure to RPA development tools (UiPath Studio, Automation Anywhere Control Room, Blue Prism Process Studio, Power Automate Desktop/Cloud).
Familiarity with data structures, APIs, and system integrations for enabling agent autonomy.
Ability to quickly learn and adapt to new AI and RPA technologies.
General Skills:
A motivated team player with the ability to contribute independently to projects.
Open to recent ideas and innovative approaches in AI and

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