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 backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Builds and maintains scalable backend systems for AI solutions, including APIs for ML models and vector databases using Python and AWS.
Builds and deploys scalable .NET backend services and WebAPIs, integrates AI features, and maintains systems using CI/CD pipelines.
Builds and deploys scalable C#/.NET microservices and WebAPIs, integrates AI features like RAG and vector databases, and maintains CI/CD pipelines in a hybrid role.
Builds and scales backend services for AI features using Python and FastAPI, integrating LLMs, RAG pipelines, and vector databases into production-grade APIs.
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Build and deploy AI-powered Python full-stack apps and integrations for customers, using FastAPI/React, MCP, LLM APIs, and cloud services.
Build AI-powered recruiting tools using Java, Spring Boot, and Oracle tech stack; design APIs, microservices, and GenAI features for talent acquisition.
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 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.
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse to deliver insights that guide business decisions using PySpark, SQL, and Terraform.
Build and maintain Kubernetes-based AI platforms and cloud-native infrastructure, including CI/CD, GitOps, and AI workloads for enterprise clients.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Builds enterprise-grade AI solutions (LLMs, RAG, agents) and scalable backend services for banking and healthcare clients using Python/Java/Node.js and modern cloud stacks.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
We are seeking an intuitive and process-driven AI Operations Specialist to design, build, and deploy autonomous agentic AI workflows. In this role, you will leverage agentic AI to create multi-step reasoning agents…
Build and ship AI-powered CRM, loyalty, and automation features using LLMs, RAG, and agents; full-stack development with AWS and SQL databases.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS serverless with Bedrock, Python, and ML pipelines in a regulated environment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
