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 AI-powered middleware tools and reusable assets (RAG assistants, MCP-based agents) while contributing to enterprise integration, API gateways, and observability solutions in an Agile team.
Build and own the AI reasoning layer and agent orchestration framework for an enterprise GRC platform, shipping production-grade agentic systems that automate governance, risk, and compliance workflows.
Build AI-driven automation workflows and maintain PHP backend systems using Laravel/YII2/Symfony, integrating ML/LLMs into enterprise platforms.
Leads the design and architecture of a production GenAI platform for Deliveroo and DoorDash, focusing on open-weight LLM/VLM serving, fine-tuning, and GPU infrastructure to optimize cost, latency, and scalability for business impact.
Senior AI Engineer builds and deploys production software integrating LLMs and AI patterns into a command-and-control platform for defense operators, using TypeScript/Python and mentoring teammates.
ML engineer builds and optimizes RAG pipelines, fine-tunes VLM for technical docs, and prepares on-prem LLM/VLM inference for an AI platform serving engineers.
Senior AI Engineer builds and deploys ML models (including LLMs) and end-to-end AI solutions for enterprise clients, focusing on MLOps, software engineering, and translating business problems into measurable outcomes.
Lead a team to deploy Generative AI solutions for large enterprises, ensuring safe integration and production use cases like customer service and content generation.
Builds Python-based automation scripts and integrations for enterprise systems using Selenium, Pandas, and REST APIs.
About the Role We are looking for a Senior Voice AI Engineer to build and scale next-generation conversational Voice AI systems. You will work on real-time, low-latency voice pipelines involving Speech-to-Text (STT),…
Build and lead AI-native products, setting technical direction for autonomous agents that act on real work, using cutting-edge models and rapid experimentation.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Build and ship AI-native agentic products that automate workflows using LLMs, tools, and memory; work closely with product and customer teams to turn frontier models into customer-ready features.
Build AI agents and automation scripts for an internal AI-powered software engineering platform used by 1,000+ engineers.
Build and improve enterprise AI platform components like intelligent routing, cost optimization, and safety systems while learning agentic AI architectures and responsible-AI design under senior engineers.
Research Engineer builds reinforcement-learning simulators and reward functions to evaluate AI interviewers for HR workflows like sourcing, screening, and scheduling.
Build reinforcement-learning environments and reward functions to evaluate and improve AI models for real-world hiring workflows using Python, LLMs, and cloud infrastructure.
Designs and evaluates AI interview tasks by creating realistic workflows, grading rubrics, and ground-truth datasets to assess large language models (LLMs) in real-world hiring scenarios, ensuring accurate and meaningful performance measurements.
Build and deploy LLM-powered pipelines in Java to create a personalized assistant for Yandex Plus subscribers, running A/B tests and integrating ML models into production.
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