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Principal engineer who designs and scales an AI-assisted legal drafting platform, owning the product from frontend to backend on a modern TypeScript stack. Full-time hybrid role based in Dubai, requiring strong engineering, AI experience, and API/database skills.
Senior IC designer who owns Anaconda's design system end to end — design tokens, Figma libraries, governance, and the code components engineers ship. Leads the component migration to shadcn/ui and Storybook and builds an AI-forward design practice for agentic product experiences, using tools like Claude Code.
Staff engineer building and maintaining AI agent evaluation systems, RAG pipelines, and testing frameworks to ensure reliability and safety of LLM-powered identity verification features.
Build and deploy AI agents and ML models that autonomously optimize cloud infrastructure, reducing costs and improving performance for enterprise clients using modern agentic frameworks and LLM tool-use.
Builds and optimizes a Kubernetes-based autonomous cloud infrastructure platform in Go, focusing on resource management and cost reduction for DevOps teams.
Designs user experiences for an autonomous cloud and AI infrastructure platform that optimizes Kubernetes and reduces cloud costs by up to 80%.
Designs the core architecture for a cloud-native platform that autonomously manages AI infrastructure, focusing on Kubernetes, Go, and microservices to maximize performance and cut cloud costs.
Build and optimize a Kubernetes resource management platform using Go, helping DevOps teams cut cloud costs and boost performance autonomously.
Solution Architect at Cyera designs and implements AI security solutions for Fortune 1000 customers, bridging technical needs with product evolution in a fast-paced startup environment.
Build and own the data pipelines, models, and infrastructure that power Virtualitics' AI-native readiness platform, turning high-volume government and defense data into analysis-ready inputs using Python, SQL, Spark, and AWS. Washington, D.C.-based role with remote flexibility; an active SECRET clearance is required.
Backend engineer at Rogo (NYC, onsite) building REST/gRPC APIs and large-scale crawling, ranking, and retrieval infrastructure for an enterprise AI product serving investment banks and investment firms. Requires 4+ years with distributed systems and a strongly typed language like Rust, C++, or Java.
A field solutions architect at Databricks who parachutes into strategic, time-boxed Benelux customer engagements (1-5 months), owning the architecture conversation and moving data engineering, ML/AI, and real-time analytics workloads from evaluation to production-grade technical wins on the Databricks platform using Python, SQL, and cloud data systems.
Builds and scales the AI data platform for an investment-management SaaS, integrating secure APIs, vector databases, and model gateways to power real-time analytics and AI-driven features.
Infrastructure engineer on Scale AI's Apps Platform team building cloud-agnostic deployment and observability for internal and customer-managed environments across AWS, Azure, GCP, OCI and on-prem. Daily work spans Kubernetes, Terraform/Docker IaC, CI/CD and GitOps pipelines, incident response, and tooling for internal teams.
A senior data/ML engineer builds and owns production-ready ML pipelines, scalable APIs, and robust data platforms on Microsoft Azure, setting engineering standards and resilient architectures. They collaborate with global teams, communicate technical results to clients, and mentor junior engineers in a hybrid Cape Town role.
Laine is hiring a Senior AI Fullstack Engineer for a full-time, hybrid role in Dubai to design and scale an AI-assisted legal drafting platform. Day to day, you'll own features, collaborate with teams, and integrate AI into workflows using a modern TypeScript stack. Visa support is offered.
Designs and executes manual and automated tests for AI products, mentors QA team members, and integrates testing into CI/CD pipelines.
Senior Data Scientist / ML Engineer at OVENTI, a Data & AI consulting firm in Paris: design, train and deploy ML models (notably on risk/finance topics) end-to-end — from data exploration in Snowflake to industrial deployment on Azure — with rigorous MLOps practices. Core stack: Python, Scikit-Learn/XGBoost, Azure, Snowflake, GitLab CI/CD, MLflow.
Build and scale an agentic chatbot platform for HR benefits, integrating LLMs, retrieval, and orchestration to deliver conversational AI solutions in a complex enterprise ecosystem.
Lead a backend engineering team building scalable, fault-tolerant systems that support Agoda’s machine learning and LLM capabilities, using languages like Scala and Go, and technologies like Kafka and Aerospike.
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