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.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and PySpark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG initiatives.
About the Role Exa sells a technical product to technical buyers, through a technical sales motion. Our AEs need to speak fluently about the product and our FDEs need enablement that matches their skill level and…
Build and deploy production-grade AI systems using LLMs, RAG, and autonomous agents to power a maritime intelligence platform that detects risks like smuggling and illegal fishing.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, with occasional frontend work in React and Next.js.
Middle Full Stack Developer (Generative AI) Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. Location: Spain (100% Remote) Type:…
Builds and operates Algolia’s AI-powered search infrastructure, designing distributed systems that handle billions of queries monthly using keyword and vector search at scale.
Senior AI & Full-Stack Engineer builds and deploys AI-driven systems for fintech platform SmartLend, focusing on automating financial analysis, credit risk assessment, and lender matching using AI/ML, data pipelines, and full-stack development.
PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from…
Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
AI Engineer focused on search and retrieval-augmented generation (RAG) systems, building on information retrieval fundamentals including vector search, embedding models, and chunking strategies. US citizenship required.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Designs and builds AI systems end-to-end, integrating LLMs, RAG pipelines, and AI agents while optimizing performance and cost using modern AI coding tools.
Builds and scales AI-driven cybersecurity systems, focusing on agent workflows, retrieval pipelines, and secure backend infrastructure for a new DLP platform.
The Senior AI Engineer will build and deploy agentic AI systems and generative workflows to power Jazz's security platform. The role involves working with LLMs, RAG pipelines, and vector search to create production-scale intelligence for data loss prevention.
Senior Solutions Engineer owning technical strategy in enterprise deals across APAC for Qdrant's open-source vector search engine—designing vector search architectures, building production-grade POCs, and acting as a technical account manager using technologies like vector search, RAG pipelines, and distributed systems.
Hypertype is seeking a Founding Engineer to build and scale AI infrastructure and industrial applications using Python, FastAPI, React, and Next.js. The role involves full-stack development, managing RAG and agentic AI workflows, and overseeing cloud infrastructure transitions between GCP and Azure.
Designs and builds scalable cloud-based data and AI platforms using Databricks, focusing on robust pipelines, Lakehouse architectures, and GenAI solutions.
Build and deploy enterprise-grade AI agent systems using Databricks, MCP, and Anthropic Claude, integrating multi-agent frameworks with complex data estates for regulated industries.
Designs and implements AI/ML solutions for healthcare operations, focusing on clinical, operational, and administrative workflows using advanced ML techniques like prompt engineering and RAG. Collaborates with cross-functional teams to ensure scalable, secure, and compliant AI systems while mentoring junior engineers.
Build and productionize ML and GenAI solutions for Manulife's actuarial, finance, and treasury functions, translating business problems into predictive models, retrieval-based GenAI systems, and agentic workflows using Python, SQL, Spark/Databricks, and modern ML frameworks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
