You will be responsible for designing, building, and maintaining reusable AI components and solutions that address real business challenges across NN. Your work will span from requirement definition to production deployment, ensuring scalability, security, and performance. You will collaborate closely with other GenAI engineers, data scientists, product owners, and business stakeholders to translate needs into robust, reusable AI assets.

Key responsibilities include:

• Develop scalable, reusable AI applications and components using agentic frameworks (e.g., Langchain, Langgraph)
• Bring AI models to production as APIs and integrate them into the NN landscape
• Collaborate with Data Scientists, Engineers, and Product Managers to improve the Machine Learning Lifecycle and asset quality
• Focus on CI/CD, testing, monitoring, and security compliance for all squad deliverables
• Enhance platform performance through latency optimization and caching strategies
• Support the squad by promoting best practices, conducting code reviews, and maintaining technical documentation
• Translate business requirements into reusable AI solutions and present them to stakeholders
• Continuously contribute to innovation initiatives and explore new technologies for assetization and reuse

You will be responsible for designing, building, and maintaining reusable AI components and solutions that address real business challenges across NN. Your work will span from requirement definition to production deployment, ensuring scalability, security, and performance. You will collaborate closely with other GenAI engineers, data scientists, product owners, and business stakeholders to translate needs into robust, reusable AI assets.

Key responsibilities include:

• Develop scalable, reusable AI applications and components using agentic frameworks (e.g., Langchain, Langgraph)
• Bring AI models to production as APIs and integrate them into the NN landscape
• Collaborate with Data Scientists, Engineers, and Product Managers to improve the Machine Learning Lifecycle and asset quality
• Focus on CI/CD, testing, monitoring, and security compliance for all squad deliverables
• Enhance platform performance through latency optimization and caching strategies
• Support the squad by promoting best practices, conducting code reviews, and maintaining technical documentation
• Translate business requirements into reusable AI solutions and present them to stakeholders
• Continuously contribute to innovation initiatives and explore new technologies for assetization and reuse