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.
Lead a DevOps team to build and secure a multi-region Kubernetes platform for a crypto-compliance company, using GitOps, service meshes, and zero-trust security.
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
Build and maintain Workday integrations and analytics for Doctolib’s HR stack, including payroll and AI-powered automation, while owning reporting and data flows across HR systems.
Define and build an AI-native developer platform that integrates CI/CD, Backstage, cloud landing zones, and AI agents with governance and security controls.
Senior Release Engineer maintains and improves CI/CD pipelines for Salesforce and NetSuite, ensuring smooth weekly deployments and automated testing while migrating from Jenkins to GitHub Actions.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
Build AI-powered middleware tools and reusable assets (RAG assistants, MCP-based agents) while contributing to enterprise integration, API gateways, and observability solutions in an Agile team.
Deploy enterprise-grade AI agents into production at major companies, integrating them with customer systems and APIs while ensuring reliability and performance.
Builds production-grade AI agents for governance, risk, and compliance workflows, embedding with enterprise customers to deploy and scale solutions end-to-end.
Build and own secure, event-driven microservices in TypeScript on AWS for a governance, risk and compliance SaaS platform, shipping frequently with CI/CD and treating infrastructure as code with rigor.
Senior Software Engineer builds and scales AI services (LLMs, ML) on AWS using Python/TypeScript, turning research into secure, production-ready features for a GRC SaaS platform.
Design and lead the architecture of AI-native engineering platforms and internal developer tools, focusing on MCP, agent ecosystems, and enterprise AI governance.
Data Scientist role at S&P Global in Gurugram, India, analyzing financial and business data to derive insights.
Build full-stack analytics solutions for Apple’s HR teams using Python, Snowflake, and Linux, turning employee data into dashboards and automated workflows.
Leads end-to-end product development for a clinical trial data engine, owning discovery, specs, launches, and metrics while building Rivia’s first product management function and integrating AI tools into workflows.
About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in…
Leads the design and architecture of a production GenAI platform for Deliveroo and DoorDash, focusing on open-weight LLM/VLM serving, fine-tuning, and GPU infrastructure to optimize cost, latency, and scalability for business impact.
Build and scale a Python-based customer portal and automation ecosystem for heat-pump services, integrating Salesforce, AI tools, and AWS.
Designs and builds AI platform infrastructure, tooling, and governance layers for autonomous agents and AI workflows, primarily using Kubernetes and cloud-native stacks.
Build and ship web and mobile apps, automate workflows with AI, and optimize infrastructure for a young startup in Lörrach.
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