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 recent AI and RPA technologies.
- General Skills:
- A motivated team player with the ability to contribute independently to projects.
- Open to new

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