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 maintains AI-powered backend services for a large bank, integrating LLMs, RAG, and agentic frameworks with enterprise systems using Java, Python, and cloud-native tools.
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Own an AI product’s journey from prototype to production, defining backlog priorities and acceptance criteria while steering compliance and risk in a regulated financial market infrastructure setting.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it…
Build production-grade AI and cloud solutions for aerospace engineering teams, including LLM apps, ML models, and APIs, from architecture to deployment.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and run the AI platform powering a conversational assistant, focusing on RAG pipelines, LLM orchestration, and vector search on Microsoft Azure and Foundry.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Designs secure, scalable GenAI architectures for insurance, healthcare, and banking clients using the Claude API and agentic workflows, ensuring responsible-AI compliance and guiding delivery teams.
Build and deploy Claude-powered demos and production solutions using Python, LangChain, RAG, and AWS, while maintaining EXL’s demo library and agentic workflows.
Build production-grade GenAI systems using Azure OpenAI APIs, Assistants API, and Codex to prototype voice workflows and demo libraries for claims automation, compliance, and developer productivity.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and scale backend services that power Workday’s Paradox AI products, integrating LLMs into production-grade systems with a focus on performance, reliability, and observability.
Build and scale AI-powered data pipelines that turn messy environmental data into clean, business-ready outputs using LLMs, vector search, and Python.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, embedding responsible AI into regulated workflows while ensuring compliance with governance and control standards.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Lead a team building full-stack features for an AI-powered legal research product using React, TypeScript, Python, and LLM integrations, while setting engineering standards and mentoring engineers.
Build full-stack features in React/TypeScript and Python, integrating AI-powered agentic workflows and MCP/A2A tooling for a legal and professional information platform.
Build and deploy Generative AI applications using Python, React, and AWS for a large financial services firm in London.
We couldn't check your fit for this role — add a CV to your profile to see it next time.