Agentic AI Engineer

We are seeking a hands-on Agentic AI Engineer to design, build, deploy, and operate secure AI-powered solutions that automate business processes, improve self-service capabilities, and accelerate decision-making. This role will focus on building enterprise-grade Agentic AI applications using AWS Bedrock AgentCore, Python, and the Strands framework while ensuring solutions are secure, observable, scalable, and production-ready. The engineer will be responsible for the full lifecycle of AI solutions, including development, deployment, evaluation, operations, continuous improvements, and production support.

Responsibilities:

• Design, develop, test, deploy, and support Agentic AI applications using AWS Bedrock AgentCore and Python.
• Develop agent orchestration workflows utilising approved tools, APIs, Model Context Protocol (MCP) servers, and enterprise integrations.
• Integrate AI agents with enterprise applications, knowledge repositories, workflow platforms, and cloud services.
• Implement security guardrails covering authentication, authorisation, tool permissions, prompt handling, data classification, logging, and compliance controls.
• Build automated evaluation frameworks that measure accuracy, safety, latency, cost efficiency, and task completion quality.
• Develop and maintain CI/CD pipelines using GitHub Actions and Harness.
• Create reusable frameworks, agent patterns, integration standards, prompt conventions, and reference implementations.
• Monitor production AI solutions and analyse failures, hallucinations, tool-call outcomes, performance trends, and operational risks.
• Maintain operational dashboards, runbooks, support documentation, and build-to-run processes.
• Collaborate with SMEs, engineering teams, and operational teams to ensure successful production adoption and ongoing support.

Requirements:

• 4+ years of software engineering, AI engineering, machine learning engineering, or related technology experience.
• Hands-on experience building and deploying AI or agent-based applications to AWS environments.
• Experience developing and supporting production software applications.
• Experience implementing Infrastructure-as-Code (IaC) for cloud deployments.
• Experience supporting applications after deployment in production environments.

Mandatory Technical Skills:

• AWS Bedrock and/or AWS Bedrock AgentCore
• Strands Framework
• Python
• Agentic AI application development
• API integration
• AI/LLM application deployment
• CI/CD implementation
• GitHub Actions
• Harness (or comparable enterprise CI/CD platform)
• Secure software engineering practices
• AI security and access-control concepts
• Production support and operational ownership