AI Engineer Senior

📋 Description

• Design, develop, and deploy production-ready applications powered by large language models (LLMs)
• Architect, build, and optimize advanced retrieval-augmented generation (RAG) pipelines capable of
• Implement and orchestrate multi-agent AI systems using AWS Bedrock Agents, AgentCore, and relevant
• Develop scalable AI pipelines and integrate them with enterprise systems while maintaining
• Build robust backend services and APIs for AI applications using Python and modern development
• Implement containerization, deployment strategies, and infrastructure practices that support

🎯 Requirements

• Significant professional experience in software engineering, ideally involving the development of
• Full-stack development experience and the ability to work across backend services, APIs, and
• Hands-on experience with large language models, foundation models, and associated APIs.
• Practical experience designing and implementing agentic architectures using frameworks such as
• Strong knowledge of prompt engineering, prompt optimization, and techniques for improving LLM
• Experience building retrieval and knowledge systems for AI agents using vector databases such as

🎁 Benefits

• Health and dental insurance
• Meal and food allowances
• Childcare assistance
• Extended paternity leave
• Wellness partnerships
• Profit-sharing program