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.
Design, build, and deploy AI/ML models and generative AI workflows, develop APIs and data pipelines, and operationalize solutions in cloud environments.
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Build and maintain full-stack web apps in TypeScript with Node.js backends and React frontends, integrating AI/LLM services and deploying on AWS for regulated industries like compliance and disability services.
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Lead a remote engineering team building AI-driven full-stack applications using React, Next.js, Django, and AWS, while mentoring developers and managing client projects.
ESM is looking for an experienced Full Stack Developer to join our team in Dubai, UAE. This role is responsible for designing, building, and scaling modern web applications while delivering secure, cloud-based,…
ESM is looking for an experienced Full Stack Developer to join our team in Dubai, UAE . This role is responsible for designing, building, and scaling modern web applications while delivering secure, cloud-based,…
Build and optimize RAG-based chatbots and speech-to-text systems using LLMs, evaluating performance with benchmarks and deploying via MLOps pipelines.
Build and maintain AI-powered applications, including conversational assistants, RAG systems, and LLM integrations, using Java/SpringBoot and modern cloud practices in a DevSecOps environment.
Build a web platform with a .NET backend and React frontend that integrates generative AI chatbots and RAG services for an aerospace client, deploying on AWS.
Lead the design and delivery of enterprise Agentic and Generative AI systems using LLMs, RAG, multi-agent frameworks, and cloud-native platforms.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Build and maintain Java/Spring Boot microservices and integrate generative AI/LLMs into backend workflows, including RAG and prompt orchestration.
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain, while ensuring compliance with AI governance and GDPR.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
We couldn't check your fit for this role — add a CV to your profile to see it next time.