Note: The job is a remote job and is open to candidates in USA. Addition is a technology consultancy delivering cutting-edge AI solutions for enterprise clients. The Senior AI Engineer will design and deploy production-grade AI solutions using AWS technologies, collaborating with teams to shape AI architectures and ensure reliable, scalable applications.
Responsibilities
- Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem
- Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges
- Build and maintain Model Context Protocol (MCP) servers to enable seamless integration across AI platforms
- Design scalable Retrieval-Augmented Generation (RAG) solutions, managing knowledge bases, vector stores and document ingestion pipelines
- Integrate Large Language Models into enterprise applications through prompt engineering, tool calling and context management
- Build secure, scalable AI back-end services using AWS Lambda, DynamoDB, S3 and other serverless technologies
- Implement monitoring, tracing and observability to ensure AI applications are reliable, performant and production-ready
- Work closely with engineering, product and client teams to shape AI architectures and contribute to technical strategy
- Support the delivery of innovative AI capabilities from concept through to production deployment
Skills
- Proven experience delivering production-grade AI applications using Amazon Bedrock
- Strong background designing and implementing agentic AI and multi-agent systems
- Hands-on experience building or integrating MCP (Model Context Protocol) servers
- Experience developing RAG architectures, knowledge bases and vector search solutions
- Strong Python development skills within AI and cloud environments
- Solid understanding of AWS services, particularly Lambda, DynamoDB and S3
- Experience integrating LLMs using prompt engineering, context management and function calling techniques
- Knowledge of observability, monitoring and tracing tools such as CloudWatch
- Strong software engineering principles with a focus on scalable, maintainable production systems
- AWS certifications, particularly AI/ML Speciality, would be advantageous
Benefits
- Work on genuinely innovative AI projects using some of the latest technologies in the AWS ecosystem.
- Build enterprise-scale AI solutions that move beyond proof of concept into real production environments.
- Collaborate with experienced engineers, architects and AI specialists on challenging client engagements.
- Influence technical direction while working at the forefront of agentic AI and cloud engineering.
- Continuous learning opportunities with access to emerging AI technologies and best practices.
- Hybrid working and a collaborative, engineering-first culture.
Company Overview