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 lead a GenAI platform and AI agents for healthcare, enabling rapid development and deployment of medical assistant agents that millions of physicians will use.
Senior Full Stack Developer building and maintaining Dynamics 365-based solutions with React.js frontends and .NET backends, mentoring teams and driving technical standards.
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Senior Software Engineer builds and deploys AI-driven systems using React, Next.js, Node.js, FastAPI, and integrates LLMs like ChatGPT and Azure OpenAI into production solutions.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Build and maintain AI-powered data pipelines in Azure Fabric, integrating OpenAI APIs to process, classify, and analyze large datasets for business use cases.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Senior ML engineer builds multimodal medical imaging AI systems—foundation models, report generation, lesion detection—using Python/PyTorch and collaborates with clinicians to deploy in hospitals.
Build and optimize LLM-based trading tools like Q&A systems and agents using Python, prompt engineering, and transformer models for a crypto derivatives exchange.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
Build and deploy deep-learning NLP models, fine-tune LLMs, and implement RAG and agentic AI systems while maintaining MLOps pipelines.
As a GSC Data Transformation & Automation Engineer, you are responsible for ensuring reliable data ingestion, transformation, and maintenance to support business decision-making. You lead the creation and evolution…
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.