AI Engineer Senior

📋 Description

• Design, develop, and deploy production-ready applications using Large Language Models (LLMs)
• Build and optimize sophisticated RAG (Retrieval-Augmented Generation) architectures that can
• Implement and orchestrate multi-agent AI systems using AWS Bedrock Agents and AgentCore frameworks
• Design scalable AI pipelines that integrate with enterprise systems and maintain performance at
• Develop robust backend services and APIs for AI applications using Python and modern frameworks
• Implement containerization and deployment strategies for AI applications

🎯 Requirements

• Strong years of professional software engineering experience
• Full-stack development experience
• Hands-on experience with LLMs and foundation model APIs
• Experience with agentic architectures (e.g., LangChain, LlamaIndex, CrewAI, AutoGen)
• Prompt engineering and optimization techniques
• Data consumption for agentic with vector databases (e.g., Pinecone, Weaviate, OpenSearch) and

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)