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Senior Solutions Engineer (Full stack Developer)
Senior engineer designs, builds, and integrates enterprise solutions using AI/ML frameworks (e.g., PyTorch) and ERP systems, coordinating projects from design to deployment while ensuring on-time, on-budget delivery.
Senior Full Stack Engineer- (LLM, GenAI, AI Agent products)
Build AI-powered contact-center and agentic workflows using AWS, LangGraph, and vector databases, deploying scalable GenAI solutions for fintech customer engagement.
Senior AI Engineer
Build and deploy production-grade AI and GenAI solutions, integrating models into real-world systems using Python, TensorFlow/PyTorch, and cloud-native tools.
AI Engineer
Build and deploy production-grade AI and Generative AI systems in Python, integrating LLMs and vector databases with cloud-native pipelines on AWS.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Full Stack Engineer | TypeScript, Node.js, React, AWS and AI | Sydney Based
Build and maintain full-stack web apps in TypeScript with Node.js backends and React frontends, integrating AI/LLM services and deploying on AWS for regulated industries like compliance and disability services.
Full Stack Developer
Build full-stack web and mobile apps using React, Django, Node.js, and React Native/Flutter, deploy on AWS/GCP/Azure, and integrate AI features.
Senior ML Engineer Infrastructure & Data Systems
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Lead Data Engineer, Group 42 (G42)
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Data Engineer / AI Knowledge Systems Specialist
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Senior Data Engineer — AI Lakehouse & SAP Integrations
Senior Data Engineer designs secure data lakehouse pipelines and integrates SAP systems for real-time AI analytics and procurement workflows.
Sr. Data Engineer
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Senior Data Engineer
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Senior Analytics Engineer
Build AI-powered analytics systems that let business users query data conversationally, design semantic models, and deploy LLM agents using Python, SQL, and agentic frameworks.
AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
Full Stack Engineer MTS 2 – AIRI
Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Full stack Engineer MTS 1 – AIRI
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Senior AI Full Stack Engineer
Build AI-powered financial applications using Python, FastAPI, React, and Generative AI tools like RAG and LLMs while designing scalable data pipelines with Dagster and dbt.