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 optimizes an internal AI CodeGen platform to automate code generation, testing, and developer workflows using LLMs, RAG, and cloud infrastructure.
Hands-on technical lead for two healthcare/bioinformatics teams, owning cross-project architecture, cloud operations (AWS), and production delivery while actively coding and reviewing. Uses modern languages (Python, TypeScript, C++, Rust), infrastructure-as-code, CI/CD, and AI-assisted engineering tools.
Designs and deploys AI/ML solutions (including generative AI) to optimize sales performance, forecasting, and operational efficiency using CRM/data analytics, with a focus on enterprise-scale MLOps and sales ops integration.
Senior individual contributor leading AI-driven business transformation within Citi's Security and Investigative Services, prototyping and deploying AI solutions using Python and enterprise AI platforms (Copilot, Gemini, Claude) in a large, regulated banking environment.
AI Engineer - Cardiff Our client is a leading company based in central Cardiff and they are looking to hire a couple of experienced AI engineers to join their IT team. In this position, you will lead on the design,…
AI Engineer to assess business processes, design AI-driven automation solutions (LLMs, agents, RAG), and build production-ready AI applications for an investment-focused organization’s portfolio.
Staff ML Engineer designing and owning shared AI/ML capabilities—model training pipelines, evaluation frameworks, agent builder frameworks, and ML tooling—for Intuit's finance, accounting, and tax products using Python, LLMs, and cloud platforms.
Senior technical architect driving Claude/GenAI adoption on Amazon Bedrock and AWS Marketplace—building PoCs, designing RAG and agentic workflows, and enabling AWS field teams and enterprise customers through workshops and co-sell engagements.
Build and lead large-scale AI data pipelines for Amazon Bedrock Knowledge Bases, enabling Retrieval Augmented Generation (RAG) workflows that power enterprise AI applications with contextual enterprise data.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Designs and leads agentic AI platforms for NVIDIA Marketing, translating marketing needs into scalable AI agents for personalization, recommendations, and workflow automation using LLMs, RAG, and enterprise integrations.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade…
Job Overview: McDermott is seeking an experienced Technology Manager, Artificial Intelligence Infrastructure to lead the strategy, architecture, deployment, governance, and operations of enterprise AI infrastructure…
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and…
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
The Senior GenAI Application Engineer will design, build, and maintain production-grade GenAI applications, focusing on agentic workflows, RAG, and enterprise system integration. The role requires strong backend engineering skills in Python or Java and experience with orchestration frameworks like LangChain or LangGraph.
The Lead AI/ML Engineer will design and deploy LLM-powered AI agents for payment processing while establishing AI development lifecycle (SDLC) and MLOps best practices. The role involves mentoring team members and collaborating across departments to deliver scalable AI solutions using Python and modern ML frameworks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
