Description

Key Responsibilities:

- Develop and maintain AI workflows leveraging AWS Bedrock services.

- Implement data ingestion and transformation pipelines for model readiness.

- Build RAG-based applications integrating embeddings and vector databases.

- Implement agentic workflows and reasoning strategies for task automation.

- Integrate MCP (Model Context Protocols) into workflow design.

- Develop and test Human-in-the-Loop (HIL) workflows and validation strategies.

- Write clean, optimized, and reusable code for scalable AI services.

- Collaborate with architects and product managers to ensure alignment of solutions.

- Debug, optimize, and improve model performance across deployments.

Additional to expand pool:

- Backend developers with experience in cloud services (AWS preferred)

- Familiar with service oriented architectures and data pipelines.

- Devops can also be relevant with container deployment, systems development, and CI/CD pipeline.

AWS, Kendra

DevOps

CI/CD

Services related to bedrock

Not just executing a plan

Developed their own RAG

Working with SMEs before

Key Skills

Education

Bachelor's degree