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.
Build and scale multi-cloud infrastructure for Scale AI’s enterprise GenAI platform, integrating with customer systems and deploying solutions across AWS, GCP, and Azure.
Build and scale backend infrastructure for enterprise GenAI products, designing APIs, distributed systems, and deployment pipelines to integrate AI models securely at production scale.
Build agent-powered AI tools that ground LLMs in real workflows, shipping full-stack features from frontend to distributed backends and LLM integrations.
Senior Product Manager at Read AI (Seattle HQ) who owns the strategy for organizational-intelligence features — turning fragmented context from meetings, messages, and email into trustworthy AI-driven insights. Day to day: customer discovery, prototyping, and shipping AI-powered experiences in partnership with Engineering, Design, and Data Science.
Build and scale backend infrastructure for enterprise Generative AI systems, designing APIs, distributed data pipelines, and deployment pipelines to integrate AI models securely at production scale.
A German-speaking Quality Assurance Engineer on Amazon's Alexa Global Quality team, designing and delivering quality campaigns for Alexa's multilingual experience across ~100 countries. The role is based in London, Dublin, or Madrid.
Drive cross-functional programs for Scale AI’s Physical AI team, aligning engineering and operations to build AI systems that reason and act in the physical world.
Forward Deployed Engineer at an early-stage AI freight-tech startup in Berlin, embedded with logistics customers to turn their operational workflows into working product. Day to day you build AI-powered full-stack tools with Node.js and TypeScript, integrate with ERPs/TMS and event systems, and build data pipelines, with regular travel to customer sites in Europe and Asia.
Founding engineer at an early-stage data infrastructure startup (clera) in New York, working directly with the CTO to build LLM-powered autonomous agents, a self-serve full-stack web app, and distributed backend services that extract and structure web data at scale. Core work spans AI/agentic systems, high-scale backends, and infrastructure as code.
Founding engineer at an early-stage AI startup in Berlin building autonomous LLM agents that automate complex processes for industrial enterprise customers. You own the full stack — React frontends, Python backends, and cloud infrastructure — shipping end-to-end agentic features in a hybrid, on-site role.
Build real-time AI systems that power live customer interactions in contact centers, combining LLMs, backend services, and user-facing apps to improve efficiency and revenue.
Customer-facing engineer at an early-stage AI startup who owns end-to-end customer deployments: driving integrations, writing detection logic and evals for AI agents, opening PRs in customer codebases, and feeding learnings back into the product. Core stack is TypeScript plus hands-on production AI agent experience.
First full-time engineer at an early-stage AI startup building tooling that detects AI agent failures and generates patches. You'll own the full loop — ingesting customer conversations, failure detection, patch generation and verification — in an all-TypeScript codebase, while setting the company's engineering culture and standards.
Technical Product Manager at PassiveLogic shaping the roadmap for the world's first autonomous building platform. Day to day, they translate buildings/HVAC domain needs into engineering plans, lead multidisciplinary teams, remove roadblocks, and partner with UI/UX and engineering to ship user-centered products.
Builds and maintains identity infrastructure (SSO, MFA, OAuth/OIDC, RBAC/ABAC/ReBAC) for a company powering large-scale AI models with RLHF and human evaluation.
Sales Data Analyst at Intercom (Fin) supporting the Sales Operations and GTM Analytics team: building and maintaining sales data models, dashboards, and compensation/attainment reporting, and analyzing sales performance. Core stack is SQL plus Excel/Google Sheets with BI tools like Tableau, Looker, or Power BI, and an emphasis on AI-assisted analysis.
Forward Deployed Engineer at Datavations, a data/AI analytics platform for the building materials industry. Day to day: manage client relationships, drive end-to-end data implementations, and build data products using SQL/Python, data pipelines, and BI tools like Tableau, Power BI, and dbt.
Build and scale full-stack systems powering Scale AI’s Generative AI Data Engine, using TypeScript, React, Node.js, MongoDB, and Elasticsearch to support LLMs and RLHF pipelines.
Build and scale backend services for a cybersecurity platform that secures AI-driven software development using .NET Core, Kafka, and Kubernetes.
Build and scale a full-stack Generative AI platform using React/TypeScript frontends and Python backends, integrating LLMs and vector databases for enterprise APIs.
We couldn't check your fit for this role — add a CV to your profile to see it next time.