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
