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.
Internship role assisting with AI platform exploration, POC development, and adoption support using Microsoft Copilot and related tools.
Build AI-powered automation tools to streamline Arm’s hardware design and verification workflows, integrating EDA tools and AI models like OpenAI Codex to cut cycle time and debug effort.
Senior AI Engineer builds and optimizes cloud-native AI/ML pipelines on GCP, integrating LLMs via Google's Gemini API and deploying scalable services with Databricks and CloudRun.
Lead architecture for AI-driven network validation systems, building agentic AI platforms with MCP/A2A, Kubernetes, and Python/Go to enable scalable, secure enterprise automation.
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.
Sell AWS GenAI services to enterprise customers in Germany, Switzerland, and CEE, aligning solutions with business needs and influencing product roadmaps.
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.
Build and lead AI/ML systems on Google Cloud, including LLM apps with Gemini, scalable pipelines with Databricks, and DevOps practices for UPS logistics tech.
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 deploy AI solutions for national programmes, mentor apprentices, and lead end-to-end ML projects using LLMs, MLOps, and cloud platforms.
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.
Build and deploy AI-powered applications and data pipelines under mentorship, working with cloud platforms, Python, and modern AI frameworks to solve business challenges.
Builds agent-based AI software using foundation models and modern engineering practices to create intelligent, autonomous systems.
Own end-to-end AI products from discovery to production, shipping scalable systems that turn Mercer’s expertise into client-facing tools while balancing speed and quality.
Build and optimize AI applications using LLMs, RAG, and agent frameworks on a central AI platform, integrating them into production for logistics use cases.
Build and ship full-stack features in C#/.NET and modern JavaScript, integrating AI tooling into established business-critical SaaS products.
Full-stack engineer building React front ends and C#/.NET APIs with SQL Server/Postgres, integrating LLMs into live products like garage management and rental systems.
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.
