Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
About Sand Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate…
Principal Data Scientist designs AI/ML solutions for telecom challenges, leads a team, and sets strategic roadmaps using Python and cloud platforms like AWS.
Sand Technologies is hiring its first US-based Site Reliability Engineer (East Coast) to lead end-to-end deployment and operation of cloud infrastructure, including its Symmetri AI platform, for government, utility and public-sector customers — covering provisioning, configuration, upgrades, security reviews and on-call incident response with Azure, AWS, Kubernetes and infrastructure-as-code (Pulu
Sand Technologies (a Physical AI company) is hiring a Forward Deployed Engineer in the USA to embed with customers in critical infrastructure (water, energy, healthcare, telecom), discover high-value problems, and build AI-driven solutions from prototype to production. The role blends hands-on engineering (Python, SQL, TypeScript, ML/LLM applications, data pipelines) with product discovery and cus
Technical Sales Engineer About Sand Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how…
Senior Data Scientist builds and deploys AI models to improve healthcare outcomes using clinical data and machine learning, working across Africa with Python and cloud platforms.
Builds secure, high-performance backend services and APIs that deliver AI-driven insights to clients in critical industries like healthcare, utilities, and infrastructure.
Senior Test Automation Engineer builds and maintains automated test suites for web apps and GraphQL APIs using TypeScript and Playwright, converting manual test cases to automation and integrating with CI/CD pipelines.
Principal Software Engineer designs and builds core AI-powered infrastructure for critical decision-making systems in industries like healthcare, water, and energy, using Python, Node.js, and distributed cloud technologies.
Senior Product Designer builds AI-powered enterprise dashboards and tools for critical industries like healthcare and energy, collaborating with cross-functional teams from research to deployment.
Design and build scalable, secure data platforms for AI-driven decision-support systems in regulated industries like healthcare and government.
Data Scientist builds and deploys AI models for infrastructure systems, focusing on utilities and smart cities, using time-series, geospatial, and MLOps techniques.
Senior Data Engineer builds and maintains Azure-based data pipelines for a UK water utility, designing canonical models and mentoring junior engineers to support AI-driven decision systems in critical infrastructure.
Senior Software Engineer builds full-stack AI-enabled decision-support systems on Microsoft Azure for UK utilities, integrating model outputs into operator-facing web apps and APIs.
Senior Business Analyst leads AI-enabled utility projects in the UK, translating client needs into requirements and business cases while working on-site with water/energy utilities in South West England.
Embed full-time in the DRC Ministry of Health to deploy and maintain Sand’s Health Operating System, acting as a technical, product, and consulting bridge between Sand and government stakeholders.
Embed full-time in Guinea-Bissau’s Ministry of Health to deploy and maintain Sand’s Health Operating System, integrating data sources, training local teams, and driving long-term technical and operational impact using Python, SQL, and domain tools.
Own and scale Kubernetes platforms for health ministries across Africa, automating deployments with GitOps and ensuring reliability for mission-critical workloads.
We couldn't check your fit for this role — add a CV to your profile to see it next time.