Senior AI Agent / AWS Engineer

**About the role** You will own backend and cloud engineering for AI-enabled applications. This is a hands-on role requiring deep understanding of Amazon Bedrock AgentCore and AWS Step Functions, together with practical experience building reliable, secure and observable agentic applications and workflows. **What you will do** • Design and build production-grade agentic applications and workflows on AWS. • Design, implement and maintain agent workflows using Amazon Bedrock AgentCore and AWS Step Functions. • Build integrations with external APIs, enterprise systems and cloud services, including robust handling of authentication, failures, retries and asynchronous operations. • Integrate LLMs, agents and tools into production workflows with appropriate guardrails, observability and error handling. • Design reliable agent pipelines involving tool calling, workflow orchestration, state management and human-in-the-loop processes where required. • Build serverless and container-based services using AWS services such as Lambda, API Gateway, EventBridge, SQS and ECS/EKS. • Implement infrastructure as code, CI/CD, monitoring and logging. • Apply appropriate AWS security practices including IAM, secrets management, encryption and audit logging. • Work closely with clients and the internal engineering team to understand requirements, make architectural decisions and deliver production solutions. • Review code and architecture and provide technical guidance to other engineers. **Must have** • 5+ years of software engineering experience, with strong hands-on AWS experience. • Deep understanding of Amazon Bedrock AgentCore and AWS Step Functions. • Hands-on experience building agentic or AI applications, including LLM integration, tool calling, agent workflows or similar systems. • Strong Python experience. Node.js/TypeScript is also valuable. • Strong understanding of REST APIs, event-driven architectures and distributed systems. • **Experience with MCP or other agent and tool integration frameworks. • Experience with LLM evaluation, guardrails and agent observability.** • Hands-on experience with Docker and CI/CD. • Good understanding of AWS networking, IAM and cloud security fundamentals. • Ability to independently design, implement, troubleshoot and explain production systems. • Clear written and spoken communication and ability to participate directly in client discussions. **Good to have** • Experience with Terraform or AWS CDK. • Experience with healthcare, fintech, legal tech or other regulated environments. • Experience integrating enterprise IT, security, infrastructure or ITSM platforms. • AWS certification.