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Lead Python Developer building autonomous AI agents using Python, Azure, and LLMs for a greenfield AI-native insurance platform, shaping architecture and partnering with C-suite on AI strategy.
This Lead Python Developer role involves building autonomous AI agent systems and RAG pipelines for a global insurance organization's greenfield AI platform. The position focuses on backend development using Python, Azure, and LLM technologies to create intelligent, agent-to-agent solutions.
Senior Python Developer on a greenfield AI project for a global insurance firm, building autonomous AI agents, RAG pipelines, and LLM evaluation systems using Python, Azure, and OpenAI.
The Senior Java Developer will work within the technology department of a financial services organization to support and develop enterprise applications. The role requires strong problem-solving and communication skills to deliver innovative technical solutions.
The AI Scanning Product Owner will define and drive the roadmap for an AI-powered code vulnerability detection and reporting tool. The role involves leveraging large language models and automation to enhance security capabilities.
Senior Data Engineer at Westpac Bank designing scalable data pipelines, mentoring a squad, and ensuring reliable service delivery using Hadoop, Spark, Airflow, and Terraform in an Agile/DevOps environment.
Design, build, and maintain cloud-based data pipelines for regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, SQL, and AWS services like Glue and S3.
Senior Data Engineer on an 8-month contract building and maintaining banking data platforms, primarily using the Hadoop stack (HDFS, Spark) and Airflow for data orchestration within a large bank's technology team.
Build and maintain a modern cloud-based data platform for a bank, writing code and tests while applying agile delivery and DevSecOps practices to enable AI adoption across the organization.
Designs, builds and maintains data pipelines for regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, Scala, SQL, and AWS services like Glue, S3, RDS/Aurora.
Senior Data Engineer mentoring a squad and scaling data platforms for a bank, working with Hadoop, Spark, Airflow, Terraform, CI/CD, and CDC/streaming data.
Senior Data Engineer on an 8-month contract at Westpac NZ, working across the Hadoop stack (HDFS, Spark), Airflow, Terraform, and CI/CD to build and maintain data platforms that support innovative banking products, while mentoring other engineers.
Senior Data Engineer mentoring a squad at Westpac NZ, collaborating with stakeholders to deliver innovative banking products using Hadoop, Airflow, CDC patterns, Terraform, CI/CD, and containerisation within an Agile and DevOps framework.
Staff Engineer at a fintech SaaS company splitting time between hands-on .NET Core/React development (60-70%) and DevOps/cloud engineering with AI-enabled workflows (30-40%), while mentoring and driving technical initiatives.
Lead Software Engineer (50% hands-on, 50% leadership) managing up to two squads to deliver digital customer experiences using Java, React, and mobile technologies at Westpac.
Build and extend AI-augmented insurance platform features using React/Angular frontends and Node.js/Python backends, leveraging Claude AI for rapid prototyping and documentation while collaborating with BAs, UX designers, and offshore teams.
Builds a next-gen trading platform with copy trading features using React/TypeScript frontend and Express/TypeScript backend.
Designs and operates Remitly's AWS cloud foundation, including networking, infrastructure tooling, and Go services, ensuring reliability and security at scale for global money transfers.
Architect and deliver production-grade agentic AI solutions that enhance cybersecurity operations (threat detection, investigations, incident response, offensive security) using Python, LLM APIs, LangGraph, and Amazon Bedrock at a large financial services firm.
Lead AI/ML Engineer at RBC Insurance leading a team of ML engineers, designing and deploying scalable machine learning models and MLOps pipelines using Python, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
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