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About the role
Responsibilities & Impact Support the design and implementation of intelligent agentic ai/Automation solutions using platforms such as Spark Assist, FDL, APIs, and Flow Canvas. Collaborate closely with the Development Lead and team members to build scalable, efficient agentic frameworks. Assist in diagnosing and resolving technical challenges within agentic ai / automation projects. Contribute to the ongoing enhancement of agentic ai best practices. Work with cross-functional teams to gather requirements and ensure smooth deployment of ai/agent/automation solutions. Stay informed about emerging AI/ML technologies and evolving industry standards to help guide innovation within the team. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related discipline. Hands-on experience with Python programming (minimum 2 years). Familiarity with agentic ai platforms and tools such as LangChain, LangGraph, LangFlow, or similar frameworks. Strong analytical and problem-solving skills, with a collaborative mindset. Preferred Qualifications Prior experience in AI/ML/Generative AI or agentic-focused roles. Exposure to cloud platforms like AWS, Azure, or GCP. Understanding of MLOps/LLMOps practices and CI/CD workflows tailored for AI systems. Ability to think strategically and contribute to solution design with a forward-looking approach
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