Responsibilities

  • Develop, implement, and maintain AI models and algorithms, including Generative AI models, to enhance product capabilities and automate processes. 
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions using Generative AI technologies where applicable. 
  • Integrate Generative AI solutions with existing products and platforms to deliver seamless functionality and performance. 
  • Optimize AI models for efficiency, scalability, and cost-effectiveness, with a focus on the efficient deployment of Generative AI tools. 
  • Monitor and evaluate the performance of AI solutions, including Generative AI models, making adjustments and improvements as needed. 
  • Stay updated with the latest advancements in AI, Generative AI, and machine learning, applying new techniques and technologies as appropriate. 
  • Document processes, methodologies, and findings to support knowledge sharing within the team, with special attention to the usage of Generative AI tools. 
  • Collaborate on the integration of Generative AI models into existing IT Service Management (ITSM) platforms to enhance automation and service efficiency. 

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
  • Proven experience as an AI Engineer or similar role with a track record of deploying AI solutions, including Generative AI models, in production. 
  • Strong programming skills in languages such as Python, Java, or C++. 
  • Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
  • Experience with data preprocessing, feature engineering, and model evaluation. 
  • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) and their AI/ML tools, especially AWS Bedrock. 
  • Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. 
  • Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders. 
  • Experience with Generative AI, NLP, and transformer-based models. 
  • Knowledge of the Langchain technology stack and AWS Bedrock for Generative AI solutions. 
  • Familiarity with IT Service Management (ITSM) tools and processes, with the ability to integrate AI- driven automation.