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.
Line of Service Assurance Industry/Sector Specialism Assurance Management Level Manager Job Description & Summary Dein Team Im Audit schaffen wir Vertrauen, indem wir Unternehmen eine unabhängige und objektive…
Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary The Resource Management Operation Specialist team delivers end-to-end…
Agency: Flywheel Job Function: Account Management and Growth Job Subfunction: Account Management Job Description: About Flywheel Flywheel’s suite of digital commerce solutions accelerate growth across all major digital…
Do you want to build the data infrastructure that powers the next generation of robotics and AI? Do you enjoy designing scalable platforms that help scientists discover, access, and transform complex multi-modal…
Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services…
Designs and builds scalable, cloud-native data platforms for enterprises and governments using Databricks, Microsoft Fabric, and cloud technologies, while leading engineering teams and driving architecture strategy.
Design and build data pipelines and models for autonomous warehouse robots, analyzing messy real-world sensor data to improve fleet performance and customer reporting.
Lead AI platform roadmaps for a healthcare AI company, turning ML experiments into production systems that scale across millions of patient records and improve care quality.
Senior engineer builds and optimizes healthcare data pipelines and analytics infrastructure to deliver actionable insights for clinical impact.
Lead a team building AI-powered tax compliance tools using Node.js, Azure, and SQL, focusing on autonomous agent workflows and NLP-driven regulation interpretation.
Build and own AI-driven financial workflows that generate client-ready deliverables like decks and models, using retrieval, evaluation, and agentic systems in a Manhattan-based fintech startup.
Andrew Morgan LLC, is a rapidly growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone-certified organization. We are seeking a qualified Technical Project Manager to support a potential federal…
ABOUT THIS ROLE As a Senior Software Engineer at LVT, you will architect, scale, and optimize the distributed core services that power our cutting-edge IoT and Agentic AI platforms. Operating within a high-velocity,…
Senior AI engineer at Microsoft building multi-agent systems and LLMs to help enterprises securely adopt AI at scale, integrating signals across identity, devices, and infrastructure.
Design and implement scalable Databricks-based data platforms and lakehouse architectures using Apache Spark to enable high-performance analytics and insights.
Designs and maintains an enterprise data platform using Microsoft Fabric and Azure, building pipelines and models to deliver reliable, governed data for analytics and AI.
Build backend services, data pipelines, and AI integrations for a hedge fund’s Fundamental Equity team, using Python, FastAPI, PostgreSQL, AWS, and LLM tooling to enhance investment workflows.
Lead the data and ML engineering team at a health-insurance startup, building the underwriting system and enterprise data layer that powers fraud detection, care navigation, and cost-containment using large-scale claims data and AI.
Senior Data Platform Engineer builds and maintains scalable data infrastructure and ETL pipelines for identity verification and fraud detection products using Python, Go, AWS, and distributed systems.
Position Description: Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks: A.…
We couldn't check your fit for this role — add a CV to your profile to see it next time.