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.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest…
Lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines for UK Defence, ensuring compliance with JSP 936 standards.
Builds and evaluates GenAI solutions (LLMs, RAG, agents) to enhance digital marketing products, automate workflows, and drive measurable business impact for a data-driven credit and fraud analytics company.
Build and deploy LLM-powered AI agents and real-time augmentation systems for contact centers using RAG, multi-agent orchestration, and evaluation frameworks.
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Build and lead next-gen agentic AI systems at a Stanford-born AI company, designing scalable LLM workflows, robust evaluation frameworks, and real-time agent augmentation for enterprise contact centers.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Own the end-to-end project lifecycle for an AI-native fintech platform, turning customer needs into scoped, sequenced technical projects and realistic timelines across engineering, AI, and security teams.
Designs and implements GenAI analytics to personalize insurance products, automate workflows, and quantify ROI using Python, Databricks, and LLMs while collaborating with cross-functional teams.
Build and deploy NLP models and AI pipelines for a chatbot program, integrating with cloud services and collaborating with cross-functional teams.
Build, deploy, and maintain AI/ML models on GCP for a defense program, focusing on LLMs, RAG, and Agentic AI while ensuring secure, scalable production systems.
Be a part of a highly collaborative and high-performing team in a fast-paced start-up environment as they prepare to scale. This is an opportunity to join right before a growth surge—they've begun securing clients,…
Build and deploy secure AI-powered web apps in a restricted DoD environment using Python, React, and RAG pipelines with LLMs like Llama 3.
Lead a team to build and ship AI-powered products using Google’s generative models, from prototype to production, while mentoring engineers and collaborating with research and product teams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
