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 deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Builds and maintains Python-based backend services and APIs, integrates AI frameworks (LangGraph, LangChain, AutoGen) into enterprise systems, and ensures scalable, secure data handling.
Builds cloud-native apps on AWS, designs AI agents using LLMs, and automates workflows with Python/.NET and agentic frameworks like LangChain.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
Designs and builds the data foundation for AI agent platforms, ensuring data quality, provenance, and real-time compliance while integrating with customer systems.
This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity,…
Build and lead an AI-powered virtual companion using LLMs and agentic frameworks to plan and optimize operations, focusing on prompt engineering, safety, and scalable AI solutions.
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
Senior architect to design and lead production multi-agent AI systems, integrating knowledge bases, retrieval, and MCP tools while ensuring reliability, cost, and security.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
Build and scale the backend for an AI-driven consulting platform using AWS/Azure, Python/Java/Spring Boot, and modern cloud-native tools while defining responsible AI-assisted development practices.
Build AI-augmented web apps and prototypes for clients in retail, finance, and hospitality using TypeScript, React, Node.js, and Postgres, with AI tools like Cursor or Claude Code woven into daily engineering.
Build end-to-end AI applications using Python (FastAPI), React, and LLM workflows; integrate with customer systems and deploy on GCP.
Senior Full Stack Engineer building cloud-native financial crime prevention systems using Java/Spring, React, Kafka, and Kubernetes, with a focus on AI-driven fraud detection and regulatory compliance.
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
Design and build a cloud-native, AI-powered self-service platform for media/advertising, integrating .NET Core APIs, React UI, and a Vertex AI agent on GCP.
Build and ship production-grade AI agents for meditation and mental-health experiences, blending robust engineering with clinical judgment to create safe, evidence-informed wellbeing tools for 30M+ users.
We couldn't check your fit for this role — add a CV to your profile to see it next time.