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.
Early-career AI Engineer building Claude-powered enterprise AI solutions, RAG pipelines, and agentic workflows on the ServiceNow platform using Python/TypeScript and LLM frameworks like LangChain.
A senior engineer who architects and deploys production AI agents into business workflows, leading data engineering and agent orchestration on Databricks and AWS. Day to day involves building metadata-driven data frameworks, Delta Live Tables/Lakeflow pipelines, and RAG-based agent systems with governance via Unity Catalog.
Builds Agentic AI and generative-AI data platforms for Thales Canada's defense R&D team in Québec City (hybrid). Day to day: developing LLM-based agents, RAG and vector-store architectures, MCP servers, and ETL pipelines using Python, LangChain/LangGraph, data orchestration tools, and Azure/AWS/GCP cloud under strict security requirements.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Citi is hiring a VP-level Java Full Stack Developer in Mississauga to design and build full-stack applications using Java or Python backends (Spring Boot, Flask/FastAPI), modern JavaScript frontends (React, Angular, or Vue), and cloud-native delivery, including Gen AI integrations such as LLM APIs and LangChain. Requires 6+ years of application development experience.
Senior (VP-level) full stack developer at Citigroup in Mississauga who leads application design, coding, and systems analysis for banking systems. Core stack is Python/Java with Spring Boot or Flask/FastAPI backends, modern JavaScript frontends (React/Angular/Vue), cloud-native delivery, and integration of Gen AI APIs (OpenAI, Gemini, Claude) using tools like LangChain.
Senior AI engineer at URBN's Nuuly building and evolving the internal AI-powered development harness that Product, UX, and Engineering teams use to move from initiative to implementation. Day-to-day work spans designing agent instructions, schemas, validators, and lifecycle gates, plus Python/Bash automation and agent platforms like LangChain and the Claude Agent SDK.
To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost…
At Livefront, we help companies design and build intelligent products and platforms that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences…
Bij Zypp werken we aan de toekomst door state-of-the-art AI-technologieën te ontwikkelen die onze klanten en interne processen vooruithelpen. We zijn een compact, deskundig team met een open cultuur waarin we elkaar…
Quem somos: A Smarthis é referência em transformação digital na América Latina, com atuação em mais de 25 países e um time de 200+ especialistas apaixonados por inovação. Nossa expertise está em soluções integradas de…
### About Maze **Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development.** In most companies, research demand far…
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Designs, automates, and operates cloud-native NoSQL and vector databases for Cisco’s AI platforms, ensuring high availability, security, and performance through SRE practices and DevSecOps.
We are exploring the next generation of AI-native systems, where large models evolve from passive assistants into autonomous agents capable of reasoning, planning, and interacting with complex environments. Building on…
GCL: C2 Introduction to role: Are you ready to turn enterprise AI into practical outcomes that streamline how we operate and ultimately improve patients’ lives? Do you thrive at the intersection of AI engineering,…
Leads AI engineering at JPMorgan Chase, designing and deploying machine learning models and scalable data pipelines to build financial services applications using Python, TensorFlow/PyTorch, and cloud platforms.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
We couldn't check your fit for this role — add a CV to your profile to see it next time.