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.
Build and maintain browser-based web applications end-to-end, writing clean code across frontend, backend, and database layers.
Build AI-powered software and systems to solve critical operational bottlenecks in energy storage R&D, manufacturing, and field deployment at a fast-scaling climate-tech company.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
Build and deploy production-grade generative AI systems for insurance workflows using LLMs, LangGraph, FastAPI, and Azure/Databricks.
Build AI-powered analytics tools for Ford’s mobility data, using full-stack development, GCP/Terraform, and LLM-driven agentic workflows to automate industrial decision-making.
Builds AI-powered, agent-driven digital systems for banking—designing full-stack Python/TypeScript solutions, integrating LLMs, and optimizing workflows to enhance customer and banker productivity.
Build and ship production-grade AI features end-to-end using Python, FastAPI, and LLM APIs on AWS Bedrock, integrating prompt handling, fallbacks, and observability into Guidewire’s insurance platform.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Build and deploy multi-agent AI systems for global financial markets, using Python, FastAPI, and frameworks like LangGraph and CrewAI.
Build and deploy AI models and GenAI agents using Python, Azure, and LLM APIs to automate decisions and enhance financial products in a hybrid role.
Build and deploy AI-first contract intelligence features using LLMs, RAG, agentic workflows, and knowledge graphs to automate and accelerate deal-making for enterprise customers.
Build and maintain full-stack web apps using Python, Django/FastAPI, React, and cloud services, while leveraging AI tools to streamline development.
Build production-ready AI features using Azure OpenAI, RAG pipelines, and MCP agents to enhance SaaS workflows like onboarding and data intake.
Build production-ready GenAI apps and reusable AI assets using RAG, Langchain/Langgraph, and Azure Cloud, while collaborating with cross-functional teams.
Build a sustainability-focused SaaS platform using spec-driven development with Python, FastAPI, PostgreSQL, BigQuery, and React/TypeScript.
Designs, builds, and deploys cloud microservices in Python and Angular, integrating RESTful APIs and relational databases to modernize government systems.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Build full-stack web apps using Python (Django/Flask/FastAPI) for backend and React.js/Angular for frontend, integrating APIs and deploying scalable solutions.
Build and maintain Angular-based interfaces for a financial-services data-integration platform, collaborating with designers to create enterprise-grade, AI-native UIs that let business users configure workflows without tickets.
Build and maintain a full-stack AI sales assistant using Python, FastAPI, and Next.js, deploying on Azure with CI/CD pipelines while collaborating with AI engineers and data scientists.
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