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.
Encore AI is building the production-grade AI backbone for top-tier financial institutions. We don’t just wrap LLMs; our platform autonomously handles critical banking workflows-from onboarding to cross-selling,…
Intern builds and tests AI components for healthcare informatics, using LLM APIs, orchestration frameworks, and data pipelines to improve treatment, payment, and operations.
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…
Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join…
The AI Engineer will work within an innovation studio at a London Market insurer to develop and implement AI solutions using GCP, Google Gemini, Anthropic, and Copilot.
Location: Our office is based in Williamsburg, Brooklyn, NY, and we are in-office 3 days per week. Swayable is a fast-growing AI and automated data science platform that measures public opinion, and the impact of…
About the role: As Recruiting Operations Manager , you'll own the systems, processes, data, and programs that power hiring at Hex. This is a builder role. You'll take a recruiting function that's growing…
Builds and operates AI-powered backend pipelines (LLM/STT) for a construction intelligence platform, focusing on non-determinism, reliability metrics, and scalable cloud services.
Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and…
Build and own production AI systems (voice agents, RAG pipelines, LLM orchestration) while mentoring engineers and advising C-level clients in a hybrid San Diego role.
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Designs and oversees Roche’s enterprise AI platform, architecting scalable, secure, and compliant AI/ML infrastructure for global healthcare applications.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
We couldn't check your fit for this role — add a CV to your profile to see it next time.