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, deploy, and maintain AI/ML models on GCP for a defense program, focusing on LLMs, RAG, and Agentic AI while ensuring secure, scalable production systems.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build and evolve TimescaleDB’s toolkit of hyperfunctions in Rust, turning raw time-series data into production-ready insights for observability, IoT, and financial systems.
Builds AI-powered apps on Azure using Python, FastAPI, and Azure AI services like OpenAI and semantic search.
Build and maintain AI-powered applications for commercial real estate using LLMs, RAG, and Azure AI to process financial and property documents into actionable insights.
Build automation and internal tools for Qdrant Cloud’s Kubernetes-based infrastructure using Go and Python, focusing on cluster provisioning, lifecycle management, and reducing operational toil.
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Build and lead Vertex’s enterprise agentic AI platform, including RAG pipelines, orchestration, and a centralized AI Control Tower for governance, observability, and cost management across AI applications.
Build and own the cloud infrastructure, AI agent integration layer, and RAG retrieval services that power Visier’s internal AI transformation, using Python, Terraform, AWS/Azure, and MCP servers.
Principal AI-Native Software Engineer builds and deploys AI-powered applications using LLMs, agentic workflows, and RAG, partnering with business leaders to deliver production-ready solutions in Python.
Builds and designs full-stack features in TypeScript/Next.js for a secure AI training-data platform, including internal dashboards and customer portals handling large multimodal datasets.
Lead a small engineering POD building Java/Spring Boot microservices and integrating AI features (RAG, embeddings, agents) for a global financial-services firm.
Principal AI Engineer builds and deploys production-grade agentic AI systems for Mastercard, focusing on multi-agent orchestration, tool integration, safety, and reliability across fintech and AI domains.
Build a full-stack freight-spot-buy platform in Python (Django/FastAPI) and React/TypeScript, integrating agentic AI for tasks like document extraction and data insights.
Build and ship full-stack features and LLM-powered tools for an AI-forward school platform, working directly with founders and senior engineers in Austin.
Lead a team to design and build enterprise-scale data platforms and AI solutions for finance, including GenAI-driven natural language access, RAG, and agent-based workflows on Snowflake.
Lead a team building full-stack legal applications in .NET, React/Next.js, and Azure, integrating AI features like RAG and agentic workflows while setting engineering standards and mentoring engineers.
Build and maintain the AI platform that powers secure, scalable GenAI and agentic workflows for a fintech company, including orchestration, vector search, LLM interfaces, and observability.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
