About Our Client
Our client is a highly respected, forward-thinking tertiary education institution at the forefront of digital innovation. They are currently scaling the engineering team behind their flagship AI Digital Assistant—a high-profile platform designed to transform student and staff digital experiences.
We are seeking a talented AI Platform Engineer to join their dedicated Core AI Platform Team. This team is not just building a chatbot; they are responsible for maturing the assistant into a robust, enterprise-grade AI platform. The successful candidate will play a pivotal role in evolving the infrastructure, data pipelines, and evaluation frameworks that power next-generation AI experiences across the entire institution.
The Opportunity
As an AI Platform Engineer within the Core team, you will drive capability maturation across several critical, cutting-edge domains:
Advanced Ingestion: Extend data pipelines to extract and transform multimodal datasets into highly digestible formats for Large Language Models (LLMs).
Security & Governance: Implement enterprise-grade file validation and automated PII masking protocols.
Streaming & Real-Time UX: Enhance the core platform to support low-latency streaming capabilities.
Guardrails & Alignment: Architect mechanisms to flag irrelevant or unhelpful AI responses, continuously driving up platform accuracy.
Evaluation Frameworks: Engineer sophisticated online and offline evaluation frameworks to track and visualize overall Platform Health.
Telemetry & Metrics: Feed rich usage metrics and telemetry into the Data Lake to power analytics and future-proof the platform.
Agent Capabilities: Establish AgentCore capabilities to unlock autonomous agent workflows on the upcoming roadmap.
Developer Experience: Enable robust versioning so internal developers building on top of the platform can leverage its features with absolute confidence.
Technical Profile Required
To be successful in this role, candidates must possess a deep, hands-on background in cloud-native software engineering and modern GenAI orchestration.
Core Criteria (Essential):
AWS GenAI Suite: Proven, hands-on experience with AWS Bedrock, Knowledge Bases, and AgentCore is strictly required.
Data Engineering: Demonstrated capability in building data pipelines and managing curation/transformation processes.
AI Evaluation: Experience engineering both online and offline evaluations using sampling and automated pipeline tests.
Orchestration Frameworks: Deep familiarity with LangGraph and/or LangChain.
AWS Serverless Stack: Proficiency with Step Functions, DynamoDB, Lambda, and AWS CDK.
Languages: Dual-fluency or strong proficiency in both TypeScript and Python.
Desirable Skills (Highly Regarded):
Experience building MCP Servers, ACP, and A2A protocols.
Modern DevOps practices, including Docker, ECS, CodeBuild, CodePipeline, and Linux environments.
Why Apply?
This is a rare opportunity to move past basic API wrappers and engineer the foundational plumbing of a massive, real-world AI platform. Our client offers a highly collaborative environment that champions technical growth, work-life balance, and impactful technological advancement.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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