AI Developer - 4 Years doing production grade agentic development (ask your engineers about this) - Multi Data Source Agentic development --> on the IT side of optimization. Not looking for business process optimization. They are working on internal productivity tools for hardware teams. - AWS Bedrock is a PLUS - they are ok with someone who has a good approach to problem solving but doesnt have experience with specific tools
Overview: Senior AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines RAG embeddings and vector databases. The ideal candidate should have strong experience in coding agentic workflows implementing MCP and integrating HIL and validation mechanisms into deployed systems.
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
AI Developer - 4 Years doing production grade agentic development (ask your engineers about this) - Multi Data Source Agentic development --> on the IT side of optimization. Not looking for business process optimization. They are working on internal productivity tools for hardware teams. - AWS Bedro...
AI Developer - 4 Years doing production grade agentic development (ask your engineers about this) - Multi Data Source Agentic development --> on the IT side of optimization. Not looking for business process optimization. They are working on internal productivity tools for hardware teams. - AWS Bedrock is a PLUS - they are ok with someone who has a good approach to problem solving but doesnt have experience with specific tools
Overview: Senior AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines RAG embeddings and vector databases. The ideal candidate should have strong experience in coding agentic workflows implementing MCP and integrating HIL and validation mechanisms into deployed systems.
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