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.
Full stack developer at Thales Canada building backend services, containerized deployments, and generative AI integrations (RAG pipelines, vector embeddings, MCP tools) for the Canadian Department of National Defence, primarily using Python, Docker, Kubernetes, and Helm.
Job Description: Realizing business goals through implementing features to Shopee as a platform, including but not limited to return and refund, and clearing and settlement. Designing and building distributed systems…
Lead application development projects building secure APIs, system integrations, and AI-enabled capabilities (LLM APIs, RAG, AI agents) on cloud platforms (AWS, Azure, GCP), managing full SDLC with Agile/DevOps practices.
Principal AI Full-Stack Engineer at Peak3 building and operating agentic AI systems (RAG, multi-agent orchestration, LLM inference chains) for insurance SaaS products, shipping full-stack features from model to UI using Python, TypeScript, React/Next.js, and Kubernetes.
Senior Backend Developer to help build a Generative AI / Agentic AI platform hub in Valencia, designing backend services and APIs with Node.js or .NET 8 on Microsoft Azure infrastructure.
Backend engineer builds and scales Java/Python microservices for an AI-powered commercial real estate platform, integrating LLMs and agent workflows on AWS.
Automation Engineer Automations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live.…
Full Stack + AI Engineer role building end-to-end applications with LLM/AI integration, using Python/Go/Node.js backends, relational databases, and cloud platforms for an IT consulting and research firm in Bandung.
The Senior UI Engineer will build responsive web and mobile applications using React and React Native while integrating AI technologies like LLMs, Python, and AI agents. The role focuses on creating intelligent user experiences through prompt engineering and agentic workflows.
This role involves developing and industrializing a generative AI platform using Python, RAG architectures, and LLMs. The developer will build scalable APIs and data pipelines while working in an Agile environment for a consulting firm.
Backend developer designing and building AI and search-integrated backend services for client projects using C#/.NET, Python, Elasticsearch, and LangGraph/LangChain.
Backend .NET developer embedded at a client site in Rennes, designing and developing backend services integrating AI and search technologies using C#/.NET, Python, SQL, MongoDB, and Elasticsearch.
The Applied AI Engineer will leverage generative AI tools to enhance business analysis, documentation, coding, and research processes. The role requires a quantitative degree and at least two years of experience in data analytics or AI implementation.
Citigroup is seeking a Senior Software Engineer to develop full-stack, cloud-native applications using Java or Python and modern JavaScript frameworks. The role involves building scalable systems with potential exposure to generative AI technologies.
About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore , and do not require Shopee sponsorship of a visa . Kindly note that you can only be considered in one recruitment…
Senior ML engineer builds and refines AI agents and RAG systems for internal document search at a large Russian company, focusing on prompt engineering, quality metrics, and production safeguards.
Lead end-to-end AI initiatives for Emirates Group, designing and deploying ML/AI solutions to improve operations and customer experiences using GenAI, LLMs and optimisation frameworks.
Build and own the AI infrastructure powering Forter’s customer-experience products, integrating LLM agents (AWS Bedrock, LangChain) into scalable backend services and data pipelines.
Backend developer building scalable Java/Spring Boot services and APIs for UK government digital projects, with a focus on integrating agentic AI (LLM agents, RAG) into the engineering platform.
Builds and maintains scalable Java/Spring Boot backend services and APIs for UK government projects, integrating agentic AI workflows (LLMs, tool-use, RAG) into production systems while ensuring security and observability.
We couldn't check your fit for this role — add a CV to your profile to see it next time.