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.
Architect and build production-grade AI agent systems that reliably process enterprise data, integrating LLMs, RAG, and multi-agent workflows while ensuring consistency and auditability in regulated environments.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Design and build scalable data pipelines and analytics solutions using C#, SQL, and cloud technologies to support business intelligence and reporting needs.
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Build and maintain robotics data pipelines, ML training systems, and real-time tools for autonomous vehicles and embodied AI, using Python, C++, React, and cloud infrastructure.
Build and expand a full-stack monolith for the wedding and real-estate industry, integrating AI agents, payments, and CRM while owning end-to-end features in Next.js, Prisma, and PostgreSQL.
Develops and maintains software for grid systems, integrating platforms and optimizing databases while providing Level 3 support and technical consultancy for energy-sector solutions.
Builds and deploys AI/ML solutions in Python, focusing on LLMs for automated, data-driven business processes and scalable backend services.
Build and deploy AI/ML models, especially LLMs, to power data-driven business decisions using Python and cloud services.
Build and scale an AI-powered edtech platform using TypeScript, Vue 3, and modern cloud tools; either focus on polished frontend UX or design robust AI pipelines and backend services.
A senior AI engineer at Scale AI designs and governs AI systems for government clients, setting standards for model safety, MLOps, and evaluation while leading high-risk AI deployments.
Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS serverless with Bedrock, Python, and ML pipelines in a regulated environment.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Lead full-stack .NET development (C#, ASP.NET MVC, Vue/Angular) and Mendix low-code apps, mentor junior devs, and drive CI/CD and cloud-based solutions.
Design and deploy Oracle Cloud architectures for data, AI, and ML workloads, including ETL/ELT pipelines, vector databases, and model fine-tuning.
Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
Designs intuitive AI interactions by refining conversational UX, trust calibration, and persona alignment to make AI a seamless human partner.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Build and fine-tune AI features, models, and agents using Python and Hugging Face to power an HR platform that simplifies global hiring and payroll.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
