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.
Builds scalable data pipelines and AI systems for an investment bank, integrating LLMs, RAG, and analytics to process complex datasets and enable intelligent decision support.
Build and refine AI agents to automate IT operations at DocuSign, integrating platforms like ServiceNow and Slack with Python scripts and REST APIs.
Build and refine AI agents to automate IT operations at Docusign, integrating platforms like ServiceNow and Slack with Python scripts and REST APIs.
Build and deploy generative AI models and LLM-based systems on AWS for clients, focusing on production-grade RAG, agentic workflows, and ML pipelines.
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Designs and builds generative AI systems on AWS, including RAG pipelines and MLOps workflows, and integrates them into enterprise applications.
Consulting AI Architect advising banks and financial firms in the Middle East on AI strategy, governance, and transformation while aligning solutions to business goals.
Design secure, scalable AI architectures for mobility and transportation systems, leveraging Generative AI, LLMs, and cloud platforms to move AI concepts into production.
Senior AI Engineer Remote — US only · Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's…
Leads GenAI adoption at a healthcare AI company, defining standards, playbooks, and scalable workflows to integrate AI tools securely and measurably across clinical operations.
Builds generative-AI prototypes and integrations with LLMs (OpenAI, Anthropic, Google) to solve business needs, using Python/JavaScript and prompt engineering.
Builds enterprise-grade AI apps using full-stack development, RAG, and intelligent agents to automate workflows and integrate with business systems.
Principal AI Data Engineer builds and prototypes AI, GenAI, and Agentic AI solutions using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI, and MLflow.
Build and deploy AI prototypes and thin-slice solutions, including GenAI/RAG/agentic workflows and evaluation harnesses, to turn user needs into working AI capabilities.
Design and deploy secure enterprise AI solutions using Azure AI services, building RAG systems, AI agents, and vector search pipelines for a large Federal Government environment.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Build and deploy AI-powered education platforms using LLMs, RAG, and agentic workflows to enhance teaching and learning at a top Australian university.
Designs and deploys secure, governed AI solutions on Azure OpenAI, building RAG agents, APIs, and vector search pipelines while ensuring responsible AI practices and cybersecurity compliance.
Build and deploy AI agents that automate silicon IP design workflows using RAG, structured tool execution, and EDA tool integration to accelerate spec-to-netlist cycles.
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
We couldn't check your fit for this role — add a CV to your profile to see it next time.