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.
Builds and maintains a generative AI platform backend in Go/Python, focusing on scalable APIs, DevOps automation, governance, and observability for enterprise AI services.
The Platform Engineer will design, develop, and maintain a Generative AI platform, focusing on scalability, security, and observability using Go and Python.
Senior Software Engineer at Upstart designing and building internal platforms for a bank using AI-driven lending technology, with a focus on risk, compliance, and operational workflows.
Technical Program Manager on the Security & Privacy team driving governance, compliance, and security program development for an AI robotics company building humanoid robots.
The Senior Product Manager will lead the multi-year roadmap for Google's compute infrastructure, focusing on security and scaling AI/ML capabilities. This role involves cross-functional collaboration to translate complex technical requirements into infrastructure solutions that support Google's global services and cloud customers.
Senior AI Engineer leads development of LLM-based language and voice technologies for healthcare, focusing on RAG, classification, and fine-tuning to enhance patient-provider interactions via conversational AI systems.
Senior Software Engineer on Speechify's Core Experiences Team, building and maintaining foundational services and cross-platform SDKs that power the product. Day-to-day involves designing APIs, shipping Kotlin-based cloud functions and backend services, and collaborating with product teams.
The Fullstack Developer will manage the full application lifecycle, focusing on building scalable cloud-native microservices and AI-integrated tools. The role involves collaborating across teams to design and deploy secure, robust APIs.
Kulu is seeking a Senior AI Full Stack Engineer to build AI agents for software onboarding using React, Python, FastAPI, and various AI/ML technologies. The role involves designing production AI systems, integrating LLMs, and working with computer vision in a high-growth startup environment.
The Tech Lead will oversee a 14-person engineering team to develop and architect an AI-driven platform. The role involves hands-on development, resource planning, and implementing robust CI/CD and testing practices.
Shift Technology is hiring a mid-level QA Engineer for a 4-month contract to perform end-to-end testing on their insurance-focused AI SaaS platform. The role involves designing test strategies, executing UI and API tests, and collaborating with Agile teams to ensure high-quality product releases.
The AI Platform Engineer will manage data infrastructure for AI mining pipelines, focusing on BigQuery datasets, storage, and data governance. The role involves collaborating with cross-functional teams to build scalable data layers and automated deployment processes.
Builds AI-driven backend solutions using .NET and Python, designing REST APIs and deploying scalable cloud-based systems with a focus on GenAI prototyping and team collaboration.
The Senior Full-Stack QA Engineer will own end-to-end quality for UI, API, and AI-driven features at an EdTech company. The role involves building automated test frameworks and validating internal LLMs while collaborating with cross-functional teams.
The Senior Software Engineer will modernize a SAP Commerce Cloud platform by implementing AI-assisted engineering and durable workflow orchestration to ensure reliable business processes. The role focuses on designing systems that maintain stability across service failures and long-running executions.
The AI Program Manager will define and execute enterprise AI strategies, oversee solution architecture, and lead end-to-end AI program planning and governance in partnership with executive leadership.
Designs B2B SaaS interfaces and brand assets for an AI-powered audit platform, balancing expert workflows with clear, trustworthy visuals.
Research scientist builds and evaluates cutting-edge ML models, focusing on frontier AI systems and publishing at top-tier venues like ICML or NeurIPS.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
Lead the design and deployment of AI-enabled embedded systems for automotive/industrial use, optimizing C++/OpenVX pipelines across multi-vendor AI chiplet platforms with safety and security constraints.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
