Gen AI Engineer

Summary

Responsibilities

• Design, build, and optimize autonomous AI agents and complex workflow automation systems using specialized authoring frameworks.
  
• Develop and deploy generative AI applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to ensure high-quality, context-aware outputs.
  
• Architect and manage cloud-native solutions on AWS, specifically utilizing Elastic Kubernetes Service (EKS) for container orchestration and scalability.
  
• Establish and maintain robust CI/CD pipelines to automate the testing, integration, and deployment of machine learning models and software updates.
  
• Write clean, efficient, and maintainable code in Python to support backend logic, data processing, and model integration.
  
• Collaborate with cross-functional teams to define technical requirements, troubleshoot system issues, and ensure the reliability of AI-driven services.
  
• Continuously evaluate emerging AI tools and technologies to recommend improvements and keep our infrastructure at the forefront of industry innovation.
  

• Proven professional experience of 5 to 7 years in software engineering, with a specialized focus on Generative AI and Machine Learning.
  
• Demonstrated expertise in building AI agents, managing workflows, and utilizing Gen AI authoring frameworks.
  
• Strong proficiency in Python programming, with a solid track record of developing production-grade applications.
  
• In-depth knowledge of AWS Cloud Services, particularly experience with Kubernetes (EKS) for container management.
  
• Hands-on experience implementing and maintaining CI/CD pipelines for AI and software development lifecycles.
  
• Practical understanding of Generative AI concepts, including LLM architecture and RAG implementation strategies.
  
• Ability to work effectively in a fast-paced environment, solving complex technical problems with innovative solutions.