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AI Engineer – Agentic AI Applications (CIB)
Build and deploy agentic AI applications (LLM agents, RAG assistants) in Python on Azure to automate workflows and improve decision-making for a fintech firm.
Senior Software Developer to the CEO
Build and maintain custom software and AI agents for the CEO, integrating LLMs and automation into executive workflows and decision-support systems.
AI/ML Engineer
Design, develop, and deploy AI/ML models for business applications using Python, TensorFlow, PyTorch, and NLP techniques.
AI Engineer — RAG, LLMs & MLOps Specialist
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
AI Platform Engineer
Build and deploy AI-powered education platforms using LLMs, RAG, and conversational AI to enhance teaching and learning at scale for a large university.
Lead Gen AI Engineer (GCP)
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Enterprise Gen AI Solutions Architect
Designs and implements large-scale generative AI and agentic systems for enterprise clients, focusing on multi-agent architectures, RAG, and cloud integration across AWS/Azure/GCP.
Principal AI Engineer
Principal AI Engineer designs and deploys scalable AI/GenAI systems, leads MLOps practices, and mentors teams to drive business insights and automation in regulated enterprise environments.
Senior AI Engineer
Senior AI Engineer builds and deploys secure, governed AI solutions on Microsoft Azure, including agents, RAG systems, and vector search, while ensuring compliance and responsible AI practices for a large federal government program.
AI Engineer
Build and deploy AI agents, RAG systems, and intelligent apps using Azure OpenAI, Python, and agent frameworks. Integrate AI with departmental systems and ensure governance.
AI Solution Architect
Designs and implements enterprise AI platforms, including LLM-based solutions, RAG architectures, and AI agents, using Microsoft Fabric and Azure.
Amazon Web Services Principal AI Solution Architect, Data & AI Specialist Solutions Architect team
Principal AI Solution Architect designs and advises on cloud-native GenAI/ML and Agentic architectures for AWS customers, focusing on scalable, secure implementations using services like Bedrock, SageMaker, and RAG workflows.
AI Intern: Generative AI, RAG & Cloud APIs
AI Intern to build and deploy generative AI and RAG systems, integrate enterprise data, and assist with backend APIs and cloud deployment.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, and NLP models to enhance customer experiences in wealth management, focusing on SMSF and Wealth Crew services using Python, LLMs, and MLOps.
AI Engineer
Build and deploy AI solutions using .NET, Azure AI, and LLMs for enterprise applications in Sydney’s CBD.
AI Engineer – Agentic AI & Engineering Transformation
Design and implement AI agents and RAG systems to automate software engineering tasks like code review, testing, and documentation, driving measurable productivity gains across the SDLC.
Senior AI Engineer (Agentic AI & RAG)
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
AI Engineer
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
AI Engineer
Senior AI Engineer builds secure, scalable AI solutions for a federal government project using Microsoft Azure AI tools, RAG, and agentic applications to enhance productivity and decision-making.
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Amazon Web Services (AWS) Sr AI Solution Architect, AI Specialist Solutions Architect team
Design and advise on scalable, secure GenAI/ML and agentic architectures on AWS for enterprise customers, focusing on production deployment, RAG, and LLM optimization.