Overview
Our technology consultancy is seeking a Senior AI Engineer to drive the development of cutting-edge AI solutions for enterprise clients. In this fully remote role, you will design and deploy production-ready agentic AI systems using advanced AWS technologies, helping organizations achieve their AI objectives. You will collaborate closely with engineering, product, and client teams to shape AI architectures and foster innovative solutions that meet real business challenges.
Responsibilities
- Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and AWS technologies.
- Develop multi-agent architectures and orchestration frameworks to address complex business challenges.
- Build and maintain Model Context Protocol (MCP) servers for seamless AI platform integration.
- Implement scalable Retrieval-Augmented Generation (RAG) solutions, including managing knowledge bases and document ingestion pipelines.
- Integrate Large Language Models into enterprise applications via prompt engineering and context management.
- Construct secure, scalable back-end services using AWS serverless technologies such as Lambda and DynamoDB.
- Ensure AI applications are reliable by implementing monitoring, tracing, and observability practices.
- Collaborate with engineering, product, and client teams to influence AI architectural strategies.
Requirements
- Proven experience in delivering production-grade AI applications with Amazon Bedrock.
- Strong background in designing and implementing agentic AI and multi-agent systems.
- Hands-on experience with Model Context Protocol (MCP) servers.
- Experience in developing RAG architectures and vector search solutions.
- Strong proficiency in Python within AI and cloud environments.
- Solid understanding of AWS services, especially Lambda, DynamoDB, and S3.
- Experience integrating Large Language Models through prompt engineering and context management.
- Familiarity with observability, monitoring, and tracing tools such as CloudWatch.