Generative AI Engineer

This is not a prompt-engineering or basic LLM integration role. The focus is on engineers who have built end-to-end agent systems in real production environments, with a strong understanding of agent architecture, orchestration, and enterprise deployment on AWS.

• Hands-on delivery of AI agents using AWS Bedrock (Agents, Knowledge Bases, and model integrations)
• Implementing tool calling and API orchestration within agent workflows
• Building RAG pipelines grounded in enterprise data
• Designing memory and state management across multi-step interactions
• Orchestrating reliable, multi-step agent workflows (eg Lambda, Step Functions, event-driven patterns)
• Ensuring security, governance, and observability in production deployments, * Proven experience shipping agentic systems into production, not just experimentation or prototypes
• Strong AWS engineering background across serverless, data, and security patterns
• Ability to translate real business problems into robust AI agent architectures

*Unfortunately, due to the high volume of applications, not all submissions will receive feedback