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MLOps Engineer / DevOps Engineer
Builds and maintains cloud infrastructure, MLOps pipelines, and AI deployment frameworks for connected kitchen appliances using AWS, Terraform, and Kubernetes.
AI/ML Engineer (Mid-level to Principal)
Design and own AI agents for enterprise data transformation, retrieval, and code generation using Python, vector databases, and cloud infrastructure.
Software Engineer
Builds and maintains AI-powered developer tools and analytics systems using Microsoft Cloud, Power Platform, and Fabric to optimize global business processes.
Applied AI/ML Engineer
Build and own core AI systems for an AI-powered CPG platform, focusing on document understanding, forecasting, and agentic workflows using LLMs and statistical models.
Senior Data Engineer (AI & Products)
Build and maintain the data foundation for AI-enabled business software, designing scalable Data Products and pipelines that power features like RAG and AI agents for thousands of Spanish users.
Senior Data & AI Engineer (Full-Stack DNA Specialist)
Senior engineer leading full-stack AI and data projects, from data architecture and MLOps to GenAI/LLM deployment and prompt engineering in production environments.
Senior Data & AI Engineer - Hybrid (London) – LLMs, RAG, Azure, Databricks
Build and deploy production-grade AI systems, including LLM and RAG applications, on Azure and Databricks for a professional services firm.
AI/ML Engineer (R-00194)
Design, build, and deploy AI/ML models and generative AI workflows, develop APIs and data pipelines, and operationalize solutions in cloud environments.
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.
Senior Data & AI Engineer
Senior Data & AI Engineer builds real-time data pipelines, ML models, and LLM features for sports betting products, using Flink, Kafka, Spark, and Go/Python.
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.
AI Data Engineer
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
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.
Senior ML/AI Engineer (LLM)
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
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.
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.
Technical Team Lead – Full Stack Development
Lead a remote engineering team building AI-driven full-stack applications using React, Next.js, Django, and AWS, while mentoring developers and managing client projects.
AI Backend Engineer - Python
Build and maintain scalable Python/FastAPI backend systems, AI agents, and payment integrations while owning features end-to-end in a fast-paced product team.
Data Engineer (m/f/d)
Build and maintain scalable cloud data pipelines and GenAI integrations using Dagster, dbt, ClickHouse, and AWS services for analytics and machine learning products.
R&D AI/ML Software Engineer — Data Pipelines & MLOps
Builds and deploys AI/ML systems, focusing on data pipelines, RAG or agentic workflows, and backend services for mission-focused AI capabilities.