Provide technical governance: Conduct architecture and design reviews, enforce standards, and ensure solutions comply with security, data, and government ICT policies.
Track and evaluate industry best practices in areas such as AI Agent, LLM application engineering, and anti-fraud system engineering, promoting the implementation of new technologies in business security scenarios.
Real-world Feedback Loops: Leverage multi-channel user feedback and real-world task data as primary research signals; design experiments and datasets to continuously improve agent and retrieval performance in production scenarios
Description:Python Builds python automation for process in scope Loans KYC AML workflow and handoffs. Hands-on Python coding. Supports integration with Copilot Studio agents. Custom code integrations. Support testing tuning and deployment activities APIs backend automation. Orchestration that extends the Power Platform ecosystem.Key Responsibilities:- Design develop and maintain Python-based automation solutions- Build workflow automation for Loans KYC AML onboarding and compliance processes- Develop scripts services and utilities to streamline business operations- Create integrations between enterprise systems databases APIs and workflow platforms- Support Copilot Studio agents through custom Python services and backend integrations- Develop RESTful APIs and microservices to facilitate system interactions- Troubleshoot and optimize automation processes for performance and scalability- Prepare technical documentation and support deployment activitiesRequired Skills:- Strong proficiency in Python programming- Experience with Flask FastAPI or Django frameworks- Knowledge of REST APIs and web services- Database experience with SQL Server PostgreSQL or MySQL- Experience integrating enterprise applications and third-party systems- Knowledge of workflow automation concepts- Understanding of Git and DevOps practices- Banking domain experience in Loans KYC or AML is preferredPreferred Skills:- Microsoft Copilot Studio integration experience- Azure Functions Logic Apps or cloud-native development- Experience with containerization Docker Kubernetes- Agile/Scrum development methodology
Demonstrable payment processing and clearing knowledge especially data mapping and modelling to support triaging issues raised in development and production
Engineer agent prompting and context management systems: system prompt architecture, dynamic context construction, prompt versioning, and evaluation-driven prompt optimisation using automated and human evaluation frameworks.
Stay current with emerging technologies and proactively introduce modern engineering capabilities (microservices, containerization, APIs, DevSecOps, data engineering practices, etc.).
Develop and maintain reusable component libraries, plugins, and shared modules consumed across multiple products to reduce duplication and improve consistency.
Be accountable for the complete testing lifecycle, including preparation of test scenarios and test cases, SIT, regression testing, UAT coordination, defect resolution and production release readiness.
Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
Crypto & Stablecoin Payments: Build crypto and stablecoin payment capabilities — on-chain transfers, transaction confirmation, address management, asset crediting, and payment-status synchronization — and integrate them with traditional payment experiences.
Develop and maintain reusable component libraries, plugins, and shared modules consumed across multiple products to reduce duplication and improve consistency.