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.
Design, build, deploy, and continuously improve production-grade LLM-powered agentic AI solutions within enterprise client environments using Python, FastAPI, agent orchestration frameworks (LangGraph, LangChain, etc.), MCP, and context engineering.
Full Stack Engineer – Up to £70k – Hybrid Tech Stack: Ruby on Rails, TypeScript, Next.js, AI tooling - LangGraph Working Arrangements: 3 days in Central London Office The Role This is a fantastic opportunity to join an…
Full-Stack Engineer building with Ruby on Rails, TypeScript, Next.js, and LangGraph in a client-facing, hybrid role at a London software house.
Builds AI-driven property management systems (tenant engagement, compliance) using Python/FastAPI for backend orchestration (LLM agents, RAG pipelines) and Next.js/TypeScript for frontends, with full ownership of infrastructure and product decisions.
Are you passionate about backend engineering, API architecture, and the future of AI-native software delivery? At Qaracter, we are looking for an AI-Native Backend/API Technical Lead to join strategic technology…
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
The Senior DevOps Engineer will design and maintain cloud infrastructure for AI solutions, focusing on secure landing zones, CI/CD pipelines, and container orchestration using Azure and Kubernetes. The role involves automating workflows and ensuring security for AI workloads within a global consultancy firm.
Build and maintain cloud-based data pipelines and distributed systems using Java, Python, Spark, and Snowflake, with a focus on Gen AI/ML applications.
The Senior Data Engineer will lead the development of cloud-based data platforms and large-scale pipelines using Java, Python, Kubernetes, Spark, Snowflake, and Databricks. The role also involves contributing to GenAI and ML applications utilizing LangChain and LangGraph.
Resumo: A Ideen está buscando uma pessoa Engenheira DevOps / Platform Reliability Sênior para alocação em um dos nossos clientes, que opera uma plataforma de automação inteligente de processos com uso intensivo de IA…
The Senior Data Engineer will design, develop, and maintain scalable Spark applications and data transformation workflows using PySpark and Databricks. The role involves collaborating with cross-functional teams to build AI-driven solutions for a global professional services client.
Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.
Build and ship AI agents and automation workflows for go-to-market operations at a major Canadian media company, integrating LLMs with CRM systems using Python, LangChain/LangGraph, and tools like n8n and Zapier.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Onsite Software Developer building REST APIs and web applications with React, TypeScript, Node.js, and Next.js, plus AI/ML integrations (Agentic AI, RAG, LLMs) for a government/public sector client in Toronto or Peterborough.
Builds and maintains LangChain’s React-based design system and component library, ensuring scalability, accessibility, and consistency across AI agent platforms used by Fortune 500 enterprises.
Designs and leads secure, scalable Gen AI applications across frontend, backend, cloud, and agentic AI layers, setting architecture direction, mentoring teams, and ensuring production-ready solutions using RAG, LLMOps, and multi-cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.