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.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Build production-grade AI systems for cost estimation, optimization, and decision support using LLM-powered apps and MLOps pipelines on Databricks, Snowflake, and cloud platforms.
Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Builds and maintains databases and data pipelines using SQL and Python to power real-time analytics and business decisions.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Design and deploy AI systems for cost estimation and optimization using LLMs and MLOps on cloud platforms like Azure and AWS.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Build and deploy AI systems for cost estimation and optimization, including LLM-powered applications and MLOps pipelines integrated with enterprise platforms.
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Build and deploy AI systems for cost estimation and optimization, including LLM-powered tools and MLOps pipelines integrated with enterprise platforms.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Architects and scales backend ecosystems and cloud platforms, integrating MLOps to ensure high availability and security using Python, AWS, Docker, Kubernetes, and microservices.
Build and operate the cloud infrastructure, CI/CD pipelines, and Kubernetes clusters that power Blitzy’s AI agent platform, enabling autonomous software development at scale.
Senior Python developer builds secure, high-performing backend services with FastAPI and GraphQL, integrating AI/LLM APIs on Azure for generative AI applications.
Build and deploy AI/ML models and MLOps pipelines to tackle public health and forensic challenges using Python/R, Azure, Kubernetes, and MLFlow.
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and internal tools at Air New Zealand.
Build and deploy AI/ML models and MLOps pipelines to tackle environmental, public-health and forensic challenges for New Zealand’s government research agency.
Build and deploy AI models to optimize logistics and digital services, collaborating with data scientists and ML engineers using MLOps practices.
Design and build generative AI and LLM-powered solutions for clients, including agent architectures, RAG systems, and cloud-based AI platforms on Azure/AWS/GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.