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 maintain Java/Spring Boot microservices and APIs that power AI-driven HR products, ensuring reliability, security, and observability in an agile team.
Build and maintain scalable backend services in Python, deploying on AWS with Docker/Kubernetes and CI/CD pipelines to support fintech products.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Build and scale an AI-powered legal automation platform in Python, integrating legacy government systems and modern generative AI to deliver corporate legal services.
Build and scale Python backend services for generative AI agents using LangChain/LangGraph, integrating LLMs and vector databases to power insurance and digital customer-service applications.
Build cloud-native microservices and AI-native platforms for Ericsson’s Service Orchestration product, integrating LLMs, RAG, and AI workflows using Kubernetes, Python/Java, and AI tooling.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
Builds Python backend APIs and orchestrates LLM workflows, focusing on retrieval/search pipelines and enterprise integrations.
Builds and maintains scalable Python backend services, RESTful APIs, and microservices while integrating LLMs, Langchain, and RAG pipelines.
Build and maintain Python backend services for a banking client, integrating AI agents (LangChain/LangGraph) and cloud tools (Azure/AWS) to automate software development workflows.
Build AI-driven backend systems in Python, designing agentic workflows and multi-agent systems while integrating data and APIs for generative AI solutions.
Principal Software Engineer leading GenAI application development, designing scalable AI pipelines, RAG systems, and agent frameworks to deploy LLM-based solutions in a regulated fintech environment.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Build and deploy GenAI prototypes and RAG systems using Databricks, LangChain, and MLflow for trading and enterprise workflows.
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
Design and build data pipelines, AI models, and generative-AI solutions to turn raw data into business insights and automated decisions for clients.
Lead AI and data engineering teams to build scalable pipelines, ML models, and generative AI solutions that drive business decisions and digital transformation for clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.