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 autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer designs and deploys enterprise AI systems using TensorFlow, PyTorch, and LLM APIs, building scalable ML pipelines and computer vision/NLP solutions for fintech and healthcare clients.
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Build and orchestrate autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools and memory systems for production-grade applications.
L’IA chez Smile, ce n’est pas un buzzword : c’est une pratique. Des modèles et des cas d’usage ouverts, performants et durables, pensés pour passer en production — pas des PoC qui finissent au tiroir. On bâtit sur des…
Build and deploy production-grade AI agents and LLM services in Python on AWS, integrating RAG pipelines, prompt engineering, and guardrails for enterprise automation in Santa Clara.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Senior .NET developer builds scalable C#/.NET backends and integrates AI features like LLMs, embeddings, and RAG into web services and APIs.
Build and deploy enterprise-grade AI agents and multi-agent systems using Python, LangChain/LangGraph, and RAG architectures for scalable copilots and automation.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Lead a small team to build AI-powered memory and proactive intelligence systems that track user context and alert on changes, coding more than 50% of the time.
Build and deploy AI-powered applications using Python, LLMs, and vector databases. Design scalable GenAI systems with cloud-native tools and enterprise integration patterns.
Company overview Our partner is a U.S.-based pharmaceutical company with an annual revenue of $400 million, developing agentic AI solutions that enable machines to speak to data. In Vietnam, the team focuses on…
We couldn't check your fit for this role — add a CV to your profile to see it next time.