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 and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Build and maintain data pipelines, deploy AI solutions (LLMs, RAG, assistants), and industrialize ML workflows using Python, Spark, and cloud platforms like Azure.
Lead a backend and data engineering team to build a zero-hallucination AI platform using Python, Apache Beam, FastAPI, and Temporal on Google Cloud Spanner and graph databases.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Build and maintain data pipelines, integrate generative AI models, and deploy solutions on cloud platforms using Python, SQL, Databricks, and Azure.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Senior DevOps engineer building and operating autonomous AI agents on AWS Bedrock AgentCore, deploying React frontends on OpenShift, and managing CI/CD pipelines with Terraform and GitHub Actions.
Senior DevOps engineer builds, deploys and operates autonomous AI agents on AWS Bedrock AgentCore, orchestrated with LangChain/LangGraph and exposed via a React frontend on OpenShift.
Build and scale a next-gen generative-AI platform using Python, FastAPI, RAG, and LLM integrations (GPT, Mistral, Claude) with cloud-native tooling.
Builds full-stack AI applications integrating generative and agentic LLMs, working with data science and DevOps teams to deploy and scale AI-powered tools in Node.js, Python, React, and Azure.
Build and ship generative-AI and agentic applications embedded in business tools, integrating LLM gateways and deploying full-stack solutions with React/Vue frontends, Node.js backends, and agent frameworks like LangChain.
Build full-stack AI applications integrating generative and agentic LLMs, from front-end to cloud deployment, collaborating with data science and DevOps teams.
Build high-performance backends in Python/FastAPI and integrate Anthropic LLMs with RAG pipelines for a company focused on AI-powered developer tools.
Build and run an AI-powered Content Factory: design agents in TypeScript/Node.js/Python to automate content creation, translation, and localization across blogs and CMS using LangChain and MCP.
Backend Python developer maintaining and evolving a high-traffic financial platform, ensuring stability and scalability while integrating AI-driven automation.
Builds and deploys Python-based backend services for banking software, integrates LLMs via LangChain/LangGraph, and optimizes AI workflows with cloud APIs.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Build and maintain Python-based AI applications, integrating modern AI capabilities into systems using AWS and AI-powered tools like Claude Code.
Backend developer building Python FastAPI services that integrate AI models and Azure cloud tools for computer vision and video analytics solutions.
Develops enterprise-grade conversational AI and automation systems using Python, JavaScript/TypeScript, and Java, integrating speech technologies and KI strategies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.