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.
Leadership and Delivery Lead project delivery end to end, with clear governance, stakeholder communication, and accountability for outcomes Build and mentor a high-performing AI engineering team, establishing technical…
Senior full-stack AI engineer building LLM-based agents and retrieval systems using RAG, embeddings, and vector databases with PyTorch and AWS Bedrock.
Enterprise Solutions Engineer at Box demonstrates and sells AI-powered content management solutions to large clients, bridging technical and business needs while driving product feedback.
Czym będziesz się zajmować? Role and responsibilities: Design, build and maintain scalable Java services processing about 500 million customer attribute updates weekly. Work with a cloud-native Azure microservice…
Who we are Video is 90% of the world's data. Most of it is invisible to machines. TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight,…
Design and build enterprise-scale Generative AI solutions on Microsoft Azure using LLMs, RAG, vector embeddings, and cloud-native architectures.
Build and optimize AI models and infrastructure for a company focused on AI-driven solutions.
Senior AI Engineer builds voice and agentic AI systems, designing and deploying conversational agents and AI-driven workflows.
Build and scale real-time ad delivery systems for Expedia’s advertising network, integrating ML-driven signals to optimize bidding, ranking, and pacing while ensuring low-latency performance.
Design AI and GenAI architecture strategies for banking clients, building scalable AI/ML platforms and deploying secure, production-grade solutions using LLMs, RAG, and semantic search.
Builds scalable Node.js/TypeScript backend services that integrate LLMs, RAG pipelines, and vector search for enterprise AI features like chatbots and intelligent Q&A.
Build and operate the interface, semantic layer and controls that let AI agents safely interact with IFS enterprise software, focusing on MCP servers, knowledge graphs and agentic workflows.
Designs robust, scalable architectures for a regulated bank, integrating data, event processing, and AI/ML into enterprise platforms while aligning with financial-sector standards.
Own the platform that connects Heidi’s AI healthcare tools to clinicians’ existing systems like EMRs, scheduling, and document stores, balancing platform-wide standards with regional customer needs.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and run backend systems that orchestrate AI models into fast, reliable APIs for a proactive smart assistant, handling inference pipelines and production reliability.
Build and deploy NLP models to detect financial fraud in unstructured government loan documents using Python, cloud tools, and LLMs while supporting criminal investigations.
Build the data layer for an AI agent platform: canonical models, knowledge graphs, and retrieval pipelines using Neo4j, Python, and vector databases.
Lead the AI-native personalization platform for a streaming service, designing systems that power Search, Recommendations, and Notifications for millions of users.
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