Your Role

• Work as AI-ML Engineer for our AI-ML product portfolio.
• Responsible for the design, development, and evolution of our internal AI-ML product suite.
• The primary focus area will be (but not limited to) Agentic AI and enterprise system integrations.
• Work in close collaboration with product owner(s), data scientist(s), platform engineer(s), and architect(s) in feature realization, prototyping, engineering, and industrialization.
• You will operate within agile design and delivery cycles, informing and influencing our reference architecture through your first-hand experience.
• An ideal candidate will be thorough with emerging technologies, products, and applications and can customize them to help our business become more secure and efficient.

Who you are

• Degree in Information Technology, Computer Science, Artificial Intelligence or similar fields.
• At least 4 years hands-on experience working in areas of AI/ML/NLP out of which at least 2 years working with GenAI.
• Experience with cloud-native AI-ML services offered by AWS (preferred) and/or Azure.
• Experience with open-source Agentic frameworks such as Lang graph, Strands SDK, Crew AI.
• At least piloting experience with different Agentic design patterns. Industrialization experience would be considered exceptional.
• At least piloting experience with different Agentic communication protocols such as MCP & A2A. Industrialization experience would be considered exceptional.
• Experience with industry standard auth & security procedures such as OAuth, JWT, Bearer token.
• Experience with good API design practices, containerization, microservices, and deployment within container orchestration services such as AWS ECS or Kubernetes is necessary.
• Experience with version control (git), automated testing, continuous integration, deployment, and monitoring.
• You can work cross-functionally.