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Full Stack AI Engineer (AI Automation, RAG and Workflow Applications)
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
Agentic AI Engineer
Build and deploy AI agents and autonomous workflows using Python, RAG, and LangChain to automate business processes and integrate enterprise systems like CRM and ERP.
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.
SATIC: Full-Stack Developer, AI Focus (Manager)
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
SATIC: Full-Stack Developer, AI Focus (Senior Associate)
Build full-stack web apps with embedded AI features, integrating LLMs and automation into secure, scalable solutions for enterprise clients.
Full Stack Developer - Fully remote
Build and ship full-stack features in TypeScript/React with AWS cloud services for a real-time AI platform that helps sales teams during customer interactions.
Senior AI Software Engineer
Build and deploy GenAI and Agentic AI solutions for enterprise clients, from PoC to production, using LLMs, cloud AI services, and Python.
Senior Full Stack Engineer
Senior Full Stack Engineer building cloud-native financial crime prevention systems using Java/Spring, React, Kafka, and Kubernetes, with a focus on AI-driven fraud detection and regulatory compliance.
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.
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.
Senior Data Scientist, Applied Science
Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
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 Engineer
Build and deploy AI solutions using .NET, Azure AI, and LLMs for enterprise applications in Sydney’s CBD.
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 Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Principal Data Scientist
Lead AI/ML initiatives in banking, designing and deploying GenAI, agentic systems, and ML models to reimagine customer service and operations using Python, TensorFlow, and cloud platforms.
Senior AI Engineer, Data Science
Build and deploy advanced LLM-driven agentic AI systems for enterprise use, focusing on multi-step reasoning, workflow orchestration, and autonomous decision-making in complex environments.
AI Engineer
Design and ship AI-powered products using Python, Java, React, and agent frameworks like LangChain; mentor teams to deliver client solutions.
Senior AI Engineer
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.