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.
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Builds and deploys LLM-powered tools that turn investment research and portfolio strategies into scalable AI solutions for portfolio managers and analysts.
Design and deploy a secure, on-premises AI platform in a classified environment, building scalable HPC infrastructure and DevSecOps ecosystems for mission-critical defense programs.
Build and deploy AI/ML models, generative AI, and intelligent automation solutions to improve payments and financial services at a global fintech leader.
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Design and build AI-driven financial solutions for Morgan Stanley at Work, focusing on Generative AI enablement, LLM integrations, and data pipelines to support equity and retirement platforms.
Lead AI-driven automation projects for enterprise domains like supply chain and IT ops, building full-stack AI systems with LLMs and agentic architectures on NVIDIA’s platforms.
Build and optimize AI systems for customer service automation, using prompt engineering, RAG, and agentic workflows to improve real-time interactions at scale.
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Lead a team building production-grade NLP and LLM systems to transform legal and business data into actionable intelligence using RAG, agentic workflows, and hybrid ML pipelines.
Build and deploy agentic AI systems—multi-agent workflows, RAG, knowledge graphs, and context engineering—on top of hosted foundation models to automate enterprise controls and improve operational efficiency.
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…
Build and deploy scalable Python applications and AI/LLM solutions using LangChain and AWS, integrating enterprise systems and optimizing performance in a fast-paced environment.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Job Duties: Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services…
Builds and shares tutorials, workshops, and code samples to teach developers how to integrate AWS generative AI tools like Amazon Q and Bedrock into their workflows.
Builds enterprise AI search systems using Elasticsearch, RAG, and LLMs, plus full-stack React/Node.js apps in AWS/Azure.
- Bachelor's degree, or 5+ years of professional or military experience - 5+ years of experience in enterprise technology architecture delivery, with experience influencing technical teams and defining and…
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best…
We couldn't check your fit for this role — add a CV to your profile to see it next time.