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.
About Aleut Federal: At Aleut Federal, we believe the company and its mission is just as important as the job you are applying for. Aleut Federal is an Alaskan Native-owned enterprise whose purpose is to support our…
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Build and deploy AI agents to automate physical engineering workflows (e.g., CAD, design specs) for infrastructure projects, accelerating tasks like data-center and energy-installation planning from weeks to hours. Own end-to-end features, from data ingestion to trusted outputs, while collaborating with domain experts.
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
The AI/ML Engineer will design and build generative AI solutions, including RAG and agentic frameworks, using Python. This is a hybrid role based in Phoenix requiring collaboration with cross-functional teams to ensure secure and scalable AI delivery.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Design and deploy enterprise-grade data pipelines and generative AI solutions on Azure, integrating Azure OpenAI and RAG to enhance investment decision-making and operational efficiency.
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Builds full-stack enterprise applications with React.js/Node.js, integrating GenAI (LLMs, RAG, AI agents) into scalable cloud-native solutions for Dubai-based teams.
Own and extend live LLM pipelines (RAG, content generation) in TypeScript/Next.js, improving reliability, quality, and cost while integrating with business systems.
You’re an experienced AI architect who wants to turn applied AI into scalable, production-grade systems while helping clients create tangible business value. As a senior consultant, you will work across the full…
Deploys and integrates Google’s generative AI systems (e.g., Gemini, Vertex AI) into enterprise environments, resolving integration/data/state issues to ensure production-grade AI workflows. Bridges customer needs with Google Cloud’s product roadmap via field insights and best-practice collaboration.
Builds and deploys AI-powered customer solutions at scale, bridging AI/data engineering, cloud architecture, and customer-facing consulting to prototype and harden production-grade systems for enterprise/education clients.
Builds and evolves backend services and APIs in Python, integrating AI models (OpenAI, Gemini, etc.) to create agents, automations and workflows for digital products.
A forward-deployed engineer building scalable, multi-tenant Java/Spring Boot microservices on Azure, integrating LLM-based AI capabilities (RAG, agents) via frameworks like LangGraph, CrewAI, and Semantic Kernel.
Build production-grade conversational AI agents for Google Cloud’s largest customers, turning prototypes into scalable, secure systems while optimizing performance and enterprise integrations.
Lead Software Engineer building AI-native enterprise applications for IFS's Enterprise Asset Management team, using Go, TypeScript, DDD, and event-driven architecture to integrate LLM capabilities into production software.
Build and optimize LLM-based systems for e-commerce supply chain logistics, including RAG, agent workflows, and multimodal understanding.
Build and evaluate LLM-based agent systems for e-commerce supply chain and logistics workflows using reinforcement learning and retrieval-augmented generation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
